Data Architect Competitive Salary + 20% Bonus + Car Allowance Central London - Hybrid, 3 days per week in the office 35-hour Working Week - Flexible Hours We are representing a large European transport business, employing around 35,000 people across the UK and Europe, who are in the midst of an ambitious enterprise-wide modernisation programme. This is a brand-new role within the business, reporting into the Group Data Director. As Data Architect, you will be responsible for defining and delivering the group data architecture strategy that underpins BI and self-service analytics capabilities across all operating units. You will establish the technical vision, standards, and frameworks that ensure data solutions are scalable, secure, and fit for a large, complex, multi-country organisation. Working closely with Lead BI Engineers, BI Developers, and senior stakeholders, you will serve as the technical authority on all matters of data architecture, balancing architectural excellence with practical delivery, and playing a critical role in evaluating and adopting new technologies. We are looking for: Solid experience in data architecture, with a track record of designing and delivering enterprise-scale data solutions Proficiency in data modelling techniques (e.g. dimensional modelling, data vault, medallion architecture) and strong SQL skills Experience with cloud data platforms, particularly AWS, as well as platforms such as Databricks and Snowflake; exposure to Azure or GCP is beneficial A good understanding of modern data engineering patterns including ETL/ELT, data lakes, lakehouse, and warehousing architectures Expopsure to data governance frameworks, metadata management, and regulatory complianc It would be a bonus if you have: Familiarity with emerging technologies such as Apache Iceberg, Delta Lake, real-time/streaming architectures, or data observability tooling Experience leading architecture workshops with both technical and non-technical stakeholders A background providing technical mentorship to BI Engineers or Developers To apply, please submit your CV. Shortlisted candidates will be contacted within 5 business days.
Aug 13, 2026
Full time
Data Architect Competitive Salary + 20% Bonus + Car Allowance Central London - Hybrid, 3 days per week in the office 35-hour Working Week - Flexible Hours We are representing a large European transport business, employing around 35,000 people across the UK and Europe, who are in the midst of an ambitious enterprise-wide modernisation programme. This is a brand-new role within the business, reporting into the Group Data Director. As Data Architect, you will be responsible for defining and delivering the group data architecture strategy that underpins BI and self-service analytics capabilities across all operating units. You will establish the technical vision, standards, and frameworks that ensure data solutions are scalable, secure, and fit for a large, complex, multi-country organisation. Working closely with Lead BI Engineers, BI Developers, and senior stakeholders, you will serve as the technical authority on all matters of data architecture, balancing architectural excellence with practical delivery, and playing a critical role in evaluating and adopting new technologies. We are looking for: Solid experience in data architecture, with a track record of designing and delivering enterprise-scale data solutions Proficiency in data modelling techniques (e.g. dimensional modelling, data vault, medallion architecture) and strong SQL skills Experience with cloud data platforms, particularly AWS, as well as platforms such as Databricks and Snowflake; exposure to Azure or GCP is beneficial A good understanding of modern data engineering patterns including ETL/ELT, data lakes, lakehouse, and warehousing architectures Expopsure to data governance frameworks, metadata management, and regulatory complianc It would be a bonus if you have: Familiarity with emerging technologies such as Apache Iceberg, Delta Lake, real-time/streaming architectures, or data observability tooling Experience leading architecture workshops with both technical and non-technical stakeholders A background providing technical mentorship to BI Engineers or Developers To apply, please submit your CV. Shortlisted candidates will be contacted within 5 business days.
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13117 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Aug 13, 2026
Full time
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13117 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Aug 13, 2026
Full time
Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Senior Solution Architect - Commercial Off-the-Shelf (COTS) Solutions Location: Remote/As per business needs Contract: Contract Rate: £300/day - Inside IR35 Eligibility: Minimum 5 years of continuous UK residency CV Eligibility: UK Citizens only Role Overview We are looking for an experienced Senior Solution Architect to design and deliver Commercial Off-the-Shelf (COTS) product solutions that support the transformation of electricity networks and contribute to the journey towards Net Zero . The successful candidate will work across Corporate Services , translating business requirements into scalable, secure and compliant solution architectures while ensuring alignment with enterprise architecture strategy, governance and technology standards. Key ResponsibilitiesSolution Architecture & Design Develop high-level and detailed solution architectures for COTS products and SaaS/cloud solutions. Design High Availability (HA) and Disaster Recovery (DR) strategies. Produce and maintain architecture documentation, diagrams and technical artefacts. Document key architectural decisions and present conceptual solutions to stakeholders and governance forums. Ensure solutions are scalable, secure, resilient and aligned with enterprise architecture principles. Technical Leadership Gather, analyse and validate functional and non-functional requirements . Assess requirements relating to performance, scalability, availability, security and resilience. Identify opportunities to optimise COTS solutions while working within the product's standard configuration and capabilities. Provide technical leadership and architectural guidance to delivery and product teams. Cloud, Data & Integration Architecture Develop cloud adoption strategies, roadmaps and reusable architecture patterns. Design and oversee integration between enterprise applications, cloud platforms and data services. Demonstrate strong understanding of: Snowflake Data Fabric Data Lakes Databricks ETL/ELT pipelines Support architectures enabling advanced data modelling, simulation, correlation and visualisation. Ways of Working Experience working within Agile and Kanban delivery environments. Comfortable working within a Product/Value Stream methodology. Understanding of DevOps, CI/CD and GitHub workflows . Experience with Value Stream Architecture and Process-Driven Architecture . Ability to collaborate effectively across architecture, engineering, product, data and business teams . Required Skills & Experience Proven experience as a Senior Solution Architect/Solution Architect in complex enterprise environments. Strong experience designing and implementing COTS, SaaS and cloud solutions . Strong understanding of solution architecture, integration architecture and enterprise architecture principles . Experience designing HA, DR, resilience and security architectures . Strong knowledge of cloud adoption and cloud architecture patterns . Hands-on architectural understanding of Snowflake, Data Fabric, Data Lake, Databricks and ETL/ELT . Good understanding of network architectures and network components . Experience with architecture governance, standards and technical documentation. Strong stakeholder management and communication skills. Ability to translate complex business requirements into practical technical solutions. Knowledge of data controls, data governance and relevant industry benchmarks . Understanding of DevOps, CI/CD and GitHub . Experience working in Agile/Kanban and product-oriented environments.
Aug 13, 2026
Contractor
Senior Solution Architect - Commercial Off-the-Shelf (COTS) Solutions Location: Remote/As per business needs Contract: Contract Rate: £300/day - Inside IR35 Eligibility: Minimum 5 years of continuous UK residency CV Eligibility: UK Citizens only Role Overview We are looking for an experienced Senior Solution Architect to design and deliver Commercial Off-the-Shelf (COTS) product solutions that support the transformation of electricity networks and contribute to the journey towards Net Zero . The successful candidate will work across Corporate Services , translating business requirements into scalable, secure and compliant solution architectures while ensuring alignment with enterprise architecture strategy, governance and technology standards. Key ResponsibilitiesSolution Architecture & Design Develop high-level and detailed solution architectures for COTS products and SaaS/cloud solutions. Design High Availability (HA) and Disaster Recovery (DR) strategies. Produce and maintain architecture documentation, diagrams and technical artefacts. Document key architectural decisions and present conceptual solutions to stakeholders and governance forums. Ensure solutions are scalable, secure, resilient and aligned with enterprise architecture principles. Technical Leadership Gather, analyse and validate functional and non-functional requirements . Assess requirements relating to performance, scalability, availability, security and resilience. Identify opportunities to optimise COTS solutions while working within the product's standard configuration and capabilities. Provide technical leadership and architectural guidance to delivery and product teams. Cloud, Data & Integration Architecture Develop cloud adoption strategies, roadmaps and reusable architecture patterns. Design and oversee integration between enterprise applications, cloud platforms and data services. Demonstrate strong understanding of: Snowflake Data Fabric Data Lakes Databricks ETL/ELT pipelines Support architectures enabling advanced data modelling, simulation, correlation and visualisation. Ways of Working Experience working within Agile and Kanban delivery environments. Comfortable working within a Product/Value Stream methodology. Understanding of DevOps, CI/CD and GitHub workflows . Experience with Value Stream Architecture and Process-Driven Architecture . Ability to collaborate effectively across architecture, engineering, product, data and business teams . Required Skills & Experience Proven experience as a Senior Solution Architect/Solution Architect in complex enterprise environments. Strong experience designing and implementing COTS, SaaS and cloud solutions . Strong understanding of solution architecture, integration architecture and enterprise architecture principles . Experience designing HA, DR, resilience and security architectures . Strong knowledge of cloud adoption and cloud architecture patterns . Hands-on architectural understanding of Snowflake, Data Fabric, Data Lake, Databricks and ETL/ELT . Good understanding of network architectures and network components . Experience with architecture governance, standards and technical documentation. Strong stakeholder management and communication skills. Ability to translate complex business requirements into practical technical solutions. Knowledge of data controls, data governance and relevant industry benchmarks . Understanding of DevOps, CI/CD and GitHub . Experience working in Agile/Kanban and product-oriented environments.
Data Architect Competitive Salary + 20% Bonus + Car Allowance Central London - Hybrid, 3 days per week in the office 35-hour Working Week - Flexible Hours We are representing a large European transport business, employing around 35,000 people across the UK and Europe, who are in the midst of an ambitious enterprise-wide modernisation programme. This is a brand-new role within the business, reporting into the Group Data Director. As Data Architect, you will be responsible for defining and delivering the group data architecture strategy that underpins BI and self-service analytics capabilities across all operating units. You will establish the technical vision, standards, and frameworks that ensure data solutions are scalable, secure, and fit for a large, complex, multi-country organisation. Working closely with Lead BI Engineers, BI Developers, and senior stakeholders, you will serve as the technical authority on all matters of data architecture, balancing architectural excellence with practical delivery, and playing a critical role in evaluating and adopting new technologies. We are looking for: Solid experience in data architecture, with a track record of designing and delivering enterprise-scale data solutions Proficiency in data modelling techniques (eg dimensional modelling, data vault, medallion architecture) and strong SQL skills Experience with cloud data platforms, particularly AWS, as well as platforms such as Databricks and Snowflake; exposure to Azure or GCP is beneficial A good understanding of modern data engineering patterns including ETL/ELT, data lakes, lakehouse, and warehousing architectures Expopsure to data governance frameworks, metadata management, and regulatory complianc It would be a bonus if you have: Familiarity with emerging technologies such as Apache Iceberg, Delta Lake, Real Time/streaming architectures, or data observability tooling Experience leading architecture workshops with both technical and non-technical stakeholders A background providing technical mentorship to BI Engineers or Developers To apply, please submit your CV. Shortlisted candidates will be contacted within 5 business days.
Aug 13, 2026
Full time
Data Architect Competitive Salary + 20% Bonus + Car Allowance Central London - Hybrid, 3 days per week in the office 35-hour Working Week - Flexible Hours We are representing a large European transport business, employing around 35,000 people across the UK and Europe, who are in the midst of an ambitious enterprise-wide modernisation programme. This is a brand-new role within the business, reporting into the Group Data Director. As Data Architect, you will be responsible for defining and delivering the group data architecture strategy that underpins BI and self-service analytics capabilities across all operating units. You will establish the technical vision, standards, and frameworks that ensure data solutions are scalable, secure, and fit for a large, complex, multi-country organisation. Working closely with Lead BI Engineers, BI Developers, and senior stakeholders, you will serve as the technical authority on all matters of data architecture, balancing architectural excellence with practical delivery, and playing a critical role in evaluating and adopting new technologies. We are looking for: Solid experience in data architecture, with a track record of designing and delivering enterprise-scale data solutions Proficiency in data modelling techniques (eg dimensional modelling, data vault, medallion architecture) and strong SQL skills Experience with cloud data platforms, particularly AWS, as well as platforms such as Databricks and Snowflake; exposure to Azure or GCP is beneficial A good understanding of modern data engineering patterns including ETL/ELT, data lakes, lakehouse, and warehousing architectures Expopsure to data governance frameworks, metadata management, and regulatory complianc It would be a bonus if you have: Familiarity with emerging technologies such as Apache Iceberg, Delta Lake, Real Time/streaming architectures, or data observability tooling Experience leading architecture workshops with both technical and non-technical stakeholders A background providing technical mentorship to BI Engineers or Developers To apply, please submit your CV. Shortlisted candidates will be contacted within 5 business days.
Data Engineer Hybrid South Wales 3 months initially Outside IR35 IntaPeople are excited to be appointed to recruit an experienced Data Engineer for a team that needs additional project resource for an interim period of time. You will be joining a small data team in this area of the business which will work with external partners to build out the organisations data capability offering. As a Senior Data Engineer, you will be responsible for designing, building, and maintaining robust, scalable, and secure data pipelines and platform that enable them to make data -driven decisions. You ll work closely with the Head of Data Engineering to grow out this data function with the recruitment of further data engineering colleagues. You ll be exposed to a wide range of projects that include internal and external suppliers. Essential Skills Proven experience as a Data Engineer Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience with Microsoft Fabric Experience of using programming languages such as Python, Scala and SQL. Demonstrable knowledge of data modelling and data warehousing within platforms such as Azure. Practical experience with Microsoft Azure services, including Azure Data Lake (Gen2), Synapse, Event Hubs, and Cosmos DB, within scalable cloud -based architectures. Experience in using Git, Azure DevOps, or GitHub Actions for version control, CI/CD, and collaborative data delivery. Robust understanding of data governance, data quality, and metadata management. Experience of communicating technical information and data to a non-technical audience and working collaboratively with analysts, architects, and product owners to deliver data solutions that meet user and organisational needs. Key Responsibilities (at a glance): Lead on the introduction of foundational data management capabilities to improve trust, accessibility, and efficiency in an organisation that has limited data management capability, lacks data management practices, including governance, metadata standards, and quality controls. Design, implement, and optimise physical data models that align with pipeline architecture, by using the approach that ensures efficient query performance, scalable storage, and robust integration and delivers adaptable and resource -efficient data processing, meeting the organisation s evolving analytical and operational demands. Work closely with data analysts, architects, devops Engineers, and business stakeholders through regular communication and collaborative planning to ensure data solutions are closely aligned with business objectives and effectively meet user needs. Transform raw data into meaningful insights by developing and maintaining tailored ETL (Extract, Transform, Load) processes enabling customised processes, empowering stakeholders to make informed decisions based on high-quality, processed information Managing the aspirations of a variety of stakeholders to enable successful project delivery can be challenging, especially when their priorities may differ or even conflict and require reconciliation to meet business and project needs. Role overview Senior Data Engineer To come in and hit the ground running and start delivering quickly Expected to be initally 3months To be based in their modern offices 1 day per week with the wider team A chance to truly contribute to large scale digitalisation projects within Wales. Start date asap Virtual 1 stage interview IR35 status outside Please note, remote candidate or those living further afield will not be considered due to some office presence in South Wales. For more information click APPLY now or for a confidential chat call Nathan Handley on (phone number removed). This role is commutable from Swansea, Bridgend, Cardiff, Newport and Bristol.
Aug 13, 2026
Contractor
Data Engineer Hybrid South Wales 3 months initially Outside IR35 IntaPeople are excited to be appointed to recruit an experienced Data Engineer for a team that needs additional project resource for an interim period of time. You will be joining a small data team in this area of the business which will work with external partners to build out the organisations data capability offering. As a Senior Data Engineer, you will be responsible for designing, building, and maintaining robust, scalable, and secure data pipelines and platform that enable them to make data -driven decisions. You ll work closely with the Head of Data Engineering to grow out this data function with the recruitment of further data engineering colleagues. You ll be exposed to a wide range of projects that include internal and external suppliers. Essential Skills Proven experience as a Data Engineer Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience with Microsoft Fabric Experience of using programming languages such as Python, Scala and SQL. Demonstrable knowledge of data modelling and data warehousing within platforms such as Azure. Practical experience with Microsoft Azure services, including Azure Data Lake (Gen2), Synapse, Event Hubs, and Cosmos DB, within scalable cloud -based architectures. Experience in using Git, Azure DevOps, or GitHub Actions for version control, CI/CD, and collaborative data delivery. Robust understanding of data governance, data quality, and metadata management. Experience of communicating technical information and data to a non-technical audience and working collaboratively with analysts, architects, and product owners to deliver data solutions that meet user and organisational needs. Key Responsibilities (at a glance): Lead on the introduction of foundational data management capabilities to improve trust, accessibility, and efficiency in an organisation that has limited data management capability, lacks data management practices, including governance, metadata standards, and quality controls. Design, implement, and optimise physical data models that align with pipeline architecture, by using the approach that ensures efficient query performance, scalable storage, and robust integration and delivers adaptable and resource -efficient data processing, meeting the organisation s evolving analytical and operational demands. Work closely with data analysts, architects, devops Engineers, and business stakeholders through regular communication and collaborative planning to ensure data solutions are closely aligned with business objectives and effectively meet user needs. Transform raw data into meaningful insights by developing and maintaining tailored ETL (Extract, Transform, Load) processes enabling customised processes, empowering stakeholders to make informed decisions based on high-quality, processed information Managing the aspirations of a variety of stakeholders to enable successful project delivery can be challenging, especially when their priorities may differ or even conflict and require reconciliation to meet business and project needs. Role overview Senior Data Engineer To come in and hit the ground running and start delivering quickly Expected to be initally 3months To be based in their modern offices 1 day per week with the wider team A chance to truly contribute to large scale digitalisation projects within Wales. Start date asap Virtual 1 stage interview IR35 status outside Please note, remote candidate or those living further afield will not be considered due to some office presence in South Wales. For more information click APPLY now or for a confidential chat call Nathan Handley on (phone number removed). This role is commutable from Swansea, Bridgend, Cardiff, Newport and Bristol.
Senior Data Science Consultant 60k - 70k + bonus and benefits (multiple positions available at different levels) London, Manchester or Glasgow / Hybrid Are you ready to work at the forefront of Agentic AI, GenAI and Data Science transformation? This is your opportunity to join a high-growth consulting environment where innovation, creativity and cutting-edge technology come together to solve complex business challenges for major clients. You'll play a key role in delivering impactful AI and analytics solutions, helping organisations unlock the value of their data and transform the way they operate. If you thrive in a client-facing consulting environment and want to work on pioneering AI initiatives with real-world impact, this could be the perfect next step in your career. What You'll Be Doing Leading and supporting the delivery of Agentic AI, GenAI, Data Science and Analytics projects across the full machine learning lifecycle Working closely with clients to understand business challenges and deliver innovative, data-driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing to business growth through bids, proposals, RFPs, thought leadership and proposition development Supporting internal innovation initiatives, whitepapers, practice development and mentoring activities Continuously developing your skills across emerging AI, analytics and cloud technologies What You'll Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients derive actionable insights from complex data Background working within a consultancy and/or industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Aug 12, 2026
Full time
Senior Data Science Consultant 60k - 70k + bonus and benefits (multiple positions available at different levels) London, Manchester or Glasgow / Hybrid Are you ready to work at the forefront of Agentic AI, GenAI and Data Science transformation? This is your opportunity to join a high-growth consulting environment where innovation, creativity and cutting-edge technology come together to solve complex business challenges for major clients. You'll play a key role in delivering impactful AI and analytics solutions, helping organisations unlock the value of their data and transform the way they operate. If you thrive in a client-facing consulting environment and want to work on pioneering AI initiatives with real-world impact, this could be the perfect next step in your career. What You'll Be Doing Leading and supporting the delivery of Agentic AI, GenAI, Data Science and Analytics projects across the full machine learning lifecycle Working closely with clients to understand business challenges and deliver innovative, data-driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing to business growth through bids, proposals, RFPs, thought leadership and proposition development Supporting internal innovation initiatives, whitepapers, practice development and mentoring activities Continuously developing your skills across emerging AI, analytics and cloud technologies What You'll Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients derive actionable insights from complex data Background working within a consultancy and/or industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Senior Data Architect Location: London Paddington Office - 2/3 days per week Salary: (Apply online only)k + Bonus Type: Permanent No Sponsorship Available Overview: Are you an experienced Data Architect looking to shape the future of enterprise data platforms? We're working with a leading global organisation that is investing heavily in cloud, data and AI transformation. As part of this growth, they're looking for a Senior Data Architect to design and deliver enterprise-scale data platforms that power advanced analytics, machine learning and AI solutions. This is an opportunity to work on large-scale transformation programmes, influencing data strategy and architecture while working with some of the latest cloud technologies. The Role: As a Senior Data Architect, you'll be responsible for designing scalable, secure and high-performing data platforms across cloud environments. You'll work closely with technical teams, stakeholders and business leaders to define architecture, establish best practices and deliver modern data solutions. Key Responsibilities: Design and architect enterprise-scale cloud data platforms. Define data architecture strategies, standards and governance. Deliver modern data solutions using Databricks, Snowflake, AWS and GCP. Enable advanced analytics, AI and machine learning capabilities. Work closely with engineering, data and business teams to deliver end-to-end solutions. Provide technical leadership throughout the project lifecycle. Ensure solutions are secure, scalable and aligned with business objectives. Skills & Experience: Enterprise Data Architecture. Databricks. Snowflake. AWS and/or GCP. Designing modern cloud data platforms. Data Lakes, Data Warehouses and Lakehouse architectures. Data governance, security and architecture best practices. AI, Machine Learning or Data Science platforms (highly desirable). Banking, Financial Services or other highly regulated industries (preferred)
Aug 12, 2026
Full time
Senior Data Architect Location: London Paddington Office - 2/3 days per week Salary: (Apply online only)k + Bonus Type: Permanent No Sponsorship Available Overview: Are you an experienced Data Architect looking to shape the future of enterprise data platforms? We're working with a leading global organisation that is investing heavily in cloud, data and AI transformation. As part of this growth, they're looking for a Senior Data Architect to design and deliver enterprise-scale data platforms that power advanced analytics, machine learning and AI solutions. This is an opportunity to work on large-scale transformation programmes, influencing data strategy and architecture while working with some of the latest cloud technologies. The Role: As a Senior Data Architect, you'll be responsible for designing scalable, secure and high-performing data platforms across cloud environments. You'll work closely with technical teams, stakeholders and business leaders to define architecture, establish best practices and deliver modern data solutions. Key Responsibilities: Design and architect enterprise-scale cloud data platforms. Define data architecture strategies, standards and governance. Deliver modern data solutions using Databricks, Snowflake, AWS and GCP. Enable advanced analytics, AI and machine learning capabilities. Work closely with engineering, data and business teams to deliver end-to-end solutions. Provide technical leadership throughout the project lifecycle. Ensure solutions are secure, scalable and aligned with business objectives. Skills & Experience: Enterprise Data Architecture. Databricks. Snowflake. AWS and/or GCP. Designing modern cloud data platforms. Data Lakes, Data Warehouses and Lakehouse architectures. Data governance, security and architecture best practices. AI, Machine Learning or Data Science platforms (highly desirable). Banking, Financial Services or other highly regulated industries (preferred)
Job Advertisement: Software Developer / Senior Data Engineer Location: London Contract Length: 12 Months Daily Rate: 700 (Umbrella) Are you ready to be part of a transformative journey? Our client is embarking on a major enterprise-wide data platform transformation, and they need a talented Software Developer / Senior Data Engineer to join their dynamic team! About the Role: You will play a pivotal role in designing and building a state-of-the-art data platform that consolidates data from various business areas into a centralised environment for reporting, analytics, and business consumption. This is your opportunity to contribute significantly as the project progresses towards crucial go-live milestones between March and June 2027! Key Responsibilities: Design & Build: Create and maintain scalable data pipelines using Python and SQL. Optimise Solutions: Develop, optimise, and support enterprise data platform solutions. Data Integration: Build and manage data ingestion, transformation, and integration processes. Infrastructure Management: Create and maintain data models, tables, and supporting infrastructure within Databricks and associated data lake/lakehouse environments. Business Logic Development: Implement business logic, calculations, and data processing solutions using Python. Collaboration: Work closely with business stakeholders and engineering teams to deliver high-quality data assets. Quality Assurance: Ensure data quality, performance, scalability, and governance standards are met. Documentation: Produce technical documentation, architecture artefacts, and data flow specifications. Performance Improvement: Identify and resolve performance bottlenecks across pipelines and processing workflows. Required Skills & Experience: Essential: Strong commercial experience in Python development. Proficient in SQL, including query optimisation and data modelling. Hands-on experience with Databricks. Proven track record in designing and building enterprise data platforms. Experience in developing ETL/ELT pipelines and data integration solutions. Strong understanding of data lakes and lakehouse architectures. Experience working with large-scale datasets and modern data engineering practises. Ability to design and deliver end-to-end data solutions. Strong analytical and problem-solving skills. Excellent stakeholder management and communication skills. Highly Desirable: Experience with Spark / PySpark. Familiarity with Azure Data Lake, Snowflake, or similar platforms. Knowledge of orchestration tools like Airflow or Azure Data Factory. Exposure to financial services environments. Experience supporting large-scale data transformation or migration programmes. What We're Looking For: A senior-level contractor who can hit the ground running. Someone comfortable working autonomously with minimal oversight. Proven experience in delivering long-term contract engagements (12 months or longer). Strong interpersonal skills with a team-oriented approach. Immediate availability or able to start quickly. Key Deliverables: Delivery of scalable, reliable, and performant data pipelines. Development of robust data models and platform structures. Successful implementation of data engineering solutions that support the enterprise data platform. High-quality data assets for reporting, analytics, and business consumption. Contribution to platform go-live milestones between March and June 2027. Join our client and be part of something big! If you are ready to take on a challenging and rewarding role, we want to hear from you! Apply now and help shape the future of data!
Aug 12, 2026
Contractor
Job Advertisement: Software Developer / Senior Data Engineer Location: London Contract Length: 12 Months Daily Rate: 700 (Umbrella) Are you ready to be part of a transformative journey? Our client is embarking on a major enterprise-wide data platform transformation, and they need a talented Software Developer / Senior Data Engineer to join their dynamic team! About the Role: You will play a pivotal role in designing and building a state-of-the-art data platform that consolidates data from various business areas into a centralised environment for reporting, analytics, and business consumption. This is your opportunity to contribute significantly as the project progresses towards crucial go-live milestones between March and June 2027! Key Responsibilities: Design & Build: Create and maintain scalable data pipelines using Python and SQL. Optimise Solutions: Develop, optimise, and support enterprise data platform solutions. Data Integration: Build and manage data ingestion, transformation, and integration processes. Infrastructure Management: Create and maintain data models, tables, and supporting infrastructure within Databricks and associated data lake/lakehouse environments. Business Logic Development: Implement business logic, calculations, and data processing solutions using Python. Collaboration: Work closely with business stakeholders and engineering teams to deliver high-quality data assets. Quality Assurance: Ensure data quality, performance, scalability, and governance standards are met. Documentation: Produce technical documentation, architecture artefacts, and data flow specifications. Performance Improvement: Identify and resolve performance bottlenecks across pipelines and processing workflows. Required Skills & Experience: Essential: Strong commercial experience in Python development. Proficient in SQL, including query optimisation and data modelling. Hands-on experience with Databricks. Proven track record in designing and building enterprise data platforms. Experience in developing ETL/ELT pipelines and data integration solutions. Strong understanding of data lakes and lakehouse architectures. Experience working with large-scale datasets and modern data engineering practises. Ability to design and deliver end-to-end data solutions. Strong analytical and problem-solving skills. Excellent stakeholder management and communication skills. Highly Desirable: Experience with Spark / PySpark. Familiarity with Azure Data Lake, Snowflake, or similar platforms. Knowledge of orchestration tools like Airflow or Azure Data Factory. Exposure to financial services environments. Experience supporting large-scale data transformation or migration programmes. What We're Looking For: A senior-level contractor who can hit the ground running. Someone comfortable working autonomously with minimal oversight. Proven experience in delivering long-term contract engagements (12 months or longer). Strong interpersonal skills with a team-oriented approach. Immediate availability or able to start quickly. Key Deliverables: Delivery of scalable, reliable, and performant data pipelines. Development of robust data models and platform structures. Successful implementation of data engineering solutions that support the enterprise data platform. High-quality data assets for reporting, analytics, and business consumption. Contribution to platform go-live milestones between March and June 2027. Join our client and be part of something big! If you are ready to take on a challenging and rewarding role, we want to hear from you! Apply now and help shape the future of data!
Spectrum IT Recruitment
Newcastle Upon Tyne, Tyne And Wear
Spectrum IT are seeking an experienced Contract Analytics Engineer to join a leading business and technology consultancy client to support across a range of client projects. You will work closely with clients to understand their requirements and translate these into robust, scalable data and analytics solutions. You will also take responsibility for helping to lead projects, including defining scope, managing delivery timeframes and budgets, while providing technical guidance and mentorship to less experienced members of the team. The role would suit an experienced Analytics Engineer who is comfortable operating at both a technical and client-facing level and who enjoys taking ownership of delivery while helping others develop. Key Responsibilities Design and build modern data and analytics solutions using Microsoft Fabric, Databricks and Power BI . Develop and maintain medallion architecture and modern data platforms. Work with clients to understand business requirements and translate these into appropriate technical solutions. Lead projects and workstreams, including setting scope, managing budgets and establishing delivery timeframes. Provide technical leadership and guidance to junior members of the team. Troubleshoot technical issues and support colleagues with problem solving. Mentor and develop junior team members, helping them build their technical and professional capabilities. Conduct regular 1:1s and support the development of team members where appropriate. Work collaboratively with internal teams and client stakeholders to ensure successful delivery. Essential Skills & Experience Dedicated experience working in Analytics Engineering. Proven experience leading projects or workstreams, including setting scope, budget and delivery timeframes . SQL DAX Power BI . Microsoft Fabric . Good understanding of modern data architectures. Strong understanding of Dimensional Modelling . Desirable Skills & Experience Experience working with Databricks . Experience with Azure and/or AWS . Experience with DevOps . Relevant Databricks certifications . Please note: Security clearance/background checks may be required due to the nature of some client projects. Spectrum IT Recruitment (South) Limited is acting as an Employment Business in relation to this vacancy.
Aug 11, 2026
Contractor
Spectrum IT are seeking an experienced Contract Analytics Engineer to join a leading business and technology consultancy client to support across a range of client projects. You will work closely with clients to understand their requirements and translate these into robust, scalable data and analytics solutions. You will also take responsibility for helping to lead projects, including defining scope, managing delivery timeframes and budgets, while providing technical guidance and mentorship to less experienced members of the team. The role would suit an experienced Analytics Engineer who is comfortable operating at both a technical and client-facing level and who enjoys taking ownership of delivery while helping others develop. Key Responsibilities Design and build modern data and analytics solutions using Microsoft Fabric, Databricks and Power BI . Develop and maintain medallion architecture and modern data platforms. Work with clients to understand business requirements and translate these into appropriate technical solutions. Lead projects and workstreams, including setting scope, managing budgets and establishing delivery timeframes. Provide technical leadership and guidance to junior members of the team. Troubleshoot technical issues and support colleagues with problem solving. Mentor and develop junior team members, helping them build their technical and professional capabilities. Conduct regular 1:1s and support the development of team members where appropriate. Work collaboratively with internal teams and client stakeholders to ensure successful delivery. Essential Skills & Experience Dedicated experience working in Analytics Engineering. Proven experience leading projects or workstreams, including setting scope, budget and delivery timeframes . SQL DAX Power BI . Microsoft Fabric . Good understanding of modern data architectures. Strong understanding of Dimensional Modelling . Desirable Skills & Experience Experience working with Databricks . Experience with Azure and/or AWS . Experience with DevOps . Relevant Databricks certifications . Please note: Security clearance/background checks may be required due to the nature of some client projects. Spectrum IT Recruitment (South) Limited is acting as an Employment Business in relation to this vacancy.
Exposure Data Analyst / Quantitative Exposure Analyst London 80,000 - 90,000 + Benefits Are you a data-driven insurance professional with strong Python and SQL skills looking to work at the forefront of exposure analytics, catastrophe risk, and process automation? I'm working with a highly regarded London Market insurer seeking an experienced Exposure Data Analyst / Quantitative Exposure Analyst to join a growing Exposure Management function. This is an excellent opportunity to combine technical expertise, data engineering, analytics and catastrophe risk management within a business where exposure analytics plays a central role in strategic decision-making. The Role Working closely with the Exposure Analytics Manager and wider Exposure Management team, you'll help develop innovative tools and analytical solutions that track, analyse and manage catastrophe exposure across the portfolio. This role offers significant exposure to modern technologies, automation initiatives, geospatial datasets, AI-driven solutions and advanced risk analytics, making it ideal for someone who enjoys solving complex problems and building scalable data solutions. Key Responsibilities Develop and enhance analytical tools used to monitor natural catastrophe exposure across the business. Build automated data pipelines and reporting processes to improve efficiency and reduce manual workloads. Support the production of portfolio analytics and catastrophe exposure forecasts. Create and maintain dashboards and visualisation tools using platforms such as Power BI and Databricks. Work with research and underwriting teams to develop proprietary risk scoring datasets and portfolio insights. Develop Python and SQL solutions that improve catastrophe pricing and exposure management processes. Translate catastrophe model outputs into business-critical reporting used for capital modelling and portfolio management. Support data enrichment initiatives and explore emerging technologies, including AI-powered solutions. Collaborate with underwriters, actuaries and senior stakeholders to deliver meaningful exposure insights. What We're Looking For Experience working within the insurance market in a data-focused analytical role. Exposure to Property insurance, catastrophe modelling or exposure management would be highly advantageous. Strong programming skills, particularly Python and SQL. Experience working with large datasets and process automation. Knowledge of catastrophe modelling platforms such as RMS or Verisk would be beneficial. Understanding of geospatial data, GIS tools or spatial analytics is desirable. Experience working with APIs, dashboarding tools and modern analytics platforms. Strong analytical and problem-solving skills with the ability to communicate complex findings clearly. A proactive, self-motivated approach and desire to improve processes through technology. Why Apply? Join a business where exposure analytics is a key strategic function. Work on innovative projects involving catastrophe risk, automation, geospatial analytics and AI. Gain exposure to senior stakeholders and underwriting teams across the organisation. Be part of a collaborative, technically strong team environment. Excellent opportunity to develop both your technical and commercial expertise within the London Market. For a confidential discussion and further information, please get in touch.
Aug 11, 2026
Full time
Exposure Data Analyst / Quantitative Exposure Analyst London 80,000 - 90,000 + Benefits Are you a data-driven insurance professional with strong Python and SQL skills looking to work at the forefront of exposure analytics, catastrophe risk, and process automation? I'm working with a highly regarded London Market insurer seeking an experienced Exposure Data Analyst / Quantitative Exposure Analyst to join a growing Exposure Management function. This is an excellent opportunity to combine technical expertise, data engineering, analytics and catastrophe risk management within a business where exposure analytics plays a central role in strategic decision-making. The Role Working closely with the Exposure Analytics Manager and wider Exposure Management team, you'll help develop innovative tools and analytical solutions that track, analyse and manage catastrophe exposure across the portfolio. This role offers significant exposure to modern technologies, automation initiatives, geospatial datasets, AI-driven solutions and advanced risk analytics, making it ideal for someone who enjoys solving complex problems and building scalable data solutions. Key Responsibilities Develop and enhance analytical tools used to monitor natural catastrophe exposure across the business. Build automated data pipelines and reporting processes to improve efficiency and reduce manual workloads. Support the production of portfolio analytics and catastrophe exposure forecasts. Create and maintain dashboards and visualisation tools using platforms such as Power BI and Databricks. Work with research and underwriting teams to develop proprietary risk scoring datasets and portfolio insights. Develop Python and SQL solutions that improve catastrophe pricing and exposure management processes. Translate catastrophe model outputs into business-critical reporting used for capital modelling and portfolio management. Support data enrichment initiatives and explore emerging technologies, including AI-powered solutions. Collaborate with underwriters, actuaries and senior stakeholders to deliver meaningful exposure insights. What We're Looking For Experience working within the insurance market in a data-focused analytical role. Exposure to Property insurance, catastrophe modelling or exposure management would be highly advantageous. Strong programming skills, particularly Python and SQL. Experience working with large datasets and process automation. Knowledge of catastrophe modelling platforms such as RMS or Verisk would be beneficial. Understanding of geospatial data, GIS tools or spatial analytics is desirable. Experience working with APIs, dashboarding tools and modern analytics platforms. Strong analytical and problem-solving skills with the ability to communicate complex findings clearly. A proactive, self-motivated approach and desire to improve processes through technology. Why Apply? Join a business where exposure analytics is a key strategic function. Work on innovative projects involving catastrophe risk, automation, geospatial analytics and AI. Gain exposure to senior stakeholders and underwriting teams across the organisation. Be part of a collaborative, technically strong team environment. Excellent opportunity to develop both your technical and commercial expertise within the London Market. For a confidential discussion and further information, please get in touch.
Principal Data Architect DV Cleared Secure Government & Defence Programmes UK Hybrid + client site Active DV clearance non-negotiable Architecture that ends up in service, not in a slide pack. Datatech Analytics is supporting a leading UK consulting and technology organisation building secure, enterprise-scale data platforms across defence, national security and classified government programmes. We're engaging Principal Data Architects who want ownership, not oversight. The role You'll set and lead the technical direction of large-scale data platforms on mission-critical programmes working alongside senior stakeholders, engineers and delivery teams. Not advisory. You stay close to delivery and shape how platforms get built, deployed and used. What you'll do - Own enterprise data architecture across secure programmes - Design end-to-end platforms ingestion through to analytics and operational use - Build secure, scalable architectures for highly classified environments - Turn complex mission requirements into things that ship - Lead engineering teams through implementation - Shape long-term architectural strategy and capability The environment AWS, Azure, GCP Databricks, Snowflake lake, lakehouse and modern warehouse patterns distributed processing DevOps, IaC, secure deployment governance, access control, analytics enablement What we need - Active DV clearance - Track record delivering enterprise-scale data platforms - Defence, national security or secure government background - Deep cloud data architecture and secure design expertise - Credible with senior stakeholders - Led teams through complex delivery Why it matters These programmes sit at the core of the UK's secure data capability. Real constraints, real consequences, no sandbox platforms that support operational decisions when it counts. Confidential conversation: (url removed)
Aug 10, 2026
Full time
Principal Data Architect DV Cleared Secure Government & Defence Programmes UK Hybrid + client site Active DV clearance non-negotiable Architecture that ends up in service, not in a slide pack. Datatech Analytics is supporting a leading UK consulting and technology organisation building secure, enterprise-scale data platforms across defence, national security and classified government programmes. We're engaging Principal Data Architects who want ownership, not oversight. The role You'll set and lead the technical direction of large-scale data platforms on mission-critical programmes working alongside senior stakeholders, engineers and delivery teams. Not advisory. You stay close to delivery and shape how platforms get built, deployed and used. What you'll do - Own enterprise data architecture across secure programmes - Design end-to-end platforms ingestion through to analytics and operational use - Build secure, scalable architectures for highly classified environments - Turn complex mission requirements into things that ship - Lead engineering teams through implementation - Shape long-term architectural strategy and capability The environment AWS, Azure, GCP Databricks, Snowflake lake, lakehouse and modern warehouse patterns distributed processing DevOps, IaC, secure deployment governance, access control, analytics enablement What we need - Active DV clearance - Track record delivering enterprise-scale data platforms - Defence, national security or secure government background - Deep cloud data architecture and secure design expertise - Credible with senior stakeholders - Led teams through complex delivery Why it matters These programmes sit at the core of the UK's secure data capability. Real constraints, real consequences, no sandbox platforms that support operational decisions when it counts. Confidential conversation: (url removed)
Senior Data Manager 90k - 120k per annum + Bonus and Benefits London, Manchester or Glasgow / Hybrid Are you ready to help organisations transform how they use data and AI? Do you thrive on designing cloud-native platforms, solving complex technical challenges and turning emerging AI technologies into real business value? This is your chance to join a market-leading technology consultancy at the forefront of Data & AI transformation. You'll work with major organisations to design and deliver next-generation data platforms that enable AI, advanced analytics and intelligent automation, while developing your own expertise in one of the fastest-growing areas of technology consulting. If you're passionate about cloud architecture, modern data platforms and AI innovation, this is an opportunity you won't want to miss. What you'll be doing You'll play a key role in helping clients design, build and optimise enterprise-scale data platforms that underpin AI-driven transformation. Your responsibilities will include: Designing and delivering secure, scalable and cost-effective cloud-native data platforms across AWS, Azure and GCP to support analytics, AI and operational workloads. Leading cloud transformation initiatives, migrating legacy environments to modern data platforms including Snowflake, Databricks, BigQuery, Synapse, Redshift and other cloud-native technologies. Building Proof of Concepts (PoCs) and Minimum Viable Products (MVPs) for AI and advanced analytics solutions, ensuring they align with business objectives and deliver measurable value. Automating infrastructure, deployments and data pipelines using Infrastructure-as-Code, DevOps, CI/CD and cloud automation tools including Terraform, ARM Templates and CloudFormation. Advising clients on enterprise data strategy, architecture roadmaps and platform design, engaging senior stakeholders and translating complex technical concepts into clear business outcomes. Applying modern architecture principles including Data Mesh, Data Fabric and cloud-native AI architectures while championing best practice, governance and user-centric design. Contributing to business development through proposals, bids and client presentations, while supporting thought leadership, innovation initiatives and continuous improvement across the wider practice. What we're looking for You'll combine strong technical expertise with consulting experience and the ability to influence stakeholders at every level. We're looking for: Significant experience designing enterprise data platforms, cloud architectures and AI-enabled solutions within a consulting or client-facing environment. Around 10+ years' experience working with modern data technologies and architecture, including at least 6 years designing cloud-based data platforms using AWS, Azure or GCP. Hands-on expertise with technologies such as Snowflake, Databricks, Synapse, BigQuery, Redshift or similar enterprise data platforms. Strong knowledge of Infrastructure-as-Code, DevOps, CI/CD, networking, security and identity management for modern cloud environments. Experience designing ETL/ELT solutions, cloud migrations and modern architecture patterns including Data Mesh and Data Fabric. Excellent stakeholder management, consulting and communication skills, with experience shaping strategy, leading architecture discussions and delivering client value. Eligibility for UK Security Clearance (SC). Desirable: Cloud certifications (minimum intermediate level), AI data architecture expertise, Agile delivery experience, cloud cost optimisation knowledge and experience working within the UK Public Sector, Financial Services, Retail, Telecommunications or Transport sectors. If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Platform Architect, Cloud Data Architect, Enterprise Data Architect, Principal Data Architect, Data Engineering Consultant, Cloud Architect, AI Platform Architect, Data & AI Consultant, Data Solutions Architect, Azure Data Architect, AWS Data Architect, GCP Data Architect, Data Engineering Lead, Solution Architect, Snowflake, Databricks, Synapse, BigQuery, Redshift, AWS, Azure, Google Cloud Platform (GCP), Terraform, CloudFormation, ARM Templates, DevOps, CI/CD, ETL, ELT, Data Mesh, Data Fabric, AI Architecture, Infrastructure-as-Code. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Aug 09, 2026
Full time
Senior Data Manager 90k - 120k per annum + Bonus and Benefits London, Manchester or Glasgow / Hybrid Are you ready to help organisations transform how they use data and AI? Do you thrive on designing cloud-native platforms, solving complex technical challenges and turning emerging AI technologies into real business value? This is your chance to join a market-leading technology consultancy at the forefront of Data & AI transformation. You'll work with major organisations to design and deliver next-generation data platforms that enable AI, advanced analytics and intelligent automation, while developing your own expertise in one of the fastest-growing areas of technology consulting. If you're passionate about cloud architecture, modern data platforms and AI innovation, this is an opportunity you won't want to miss. What you'll be doing You'll play a key role in helping clients design, build and optimise enterprise-scale data platforms that underpin AI-driven transformation. Your responsibilities will include: Designing and delivering secure, scalable and cost-effective cloud-native data platforms across AWS, Azure and GCP to support analytics, AI and operational workloads. Leading cloud transformation initiatives, migrating legacy environments to modern data platforms including Snowflake, Databricks, BigQuery, Synapse, Redshift and other cloud-native technologies. Building Proof of Concepts (PoCs) and Minimum Viable Products (MVPs) for AI and advanced analytics solutions, ensuring they align with business objectives and deliver measurable value. Automating infrastructure, deployments and data pipelines using Infrastructure-as-Code, DevOps, CI/CD and cloud automation tools including Terraform, ARM Templates and CloudFormation. Advising clients on enterprise data strategy, architecture roadmaps and platform design, engaging senior stakeholders and translating complex technical concepts into clear business outcomes. Applying modern architecture principles including Data Mesh, Data Fabric and cloud-native AI architectures while championing best practice, governance and user-centric design. Contributing to business development through proposals, bids and client presentations, while supporting thought leadership, innovation initiatives and continuous improvement across the wider practice. What we're looking for You'll combine strong technical expertise with consulting experience and the ability to influence stakeholders at every level. We're looking for: Significant experience designing enterprise data platforms, cloud architectures and AI-enabled solutions within a consulting or client-facing environment. Around 10+ years' experience working with modern data technologies and architecture, including at least 6 years designing cloud-based data platforms using AWS, Azure or GCP. Hands-on expertise with technologies such as Snowflake, Databricks, Synapse, BigQuery, Redshift or similar enterprise data platforms. Strong knowledge of Infrastructure-as-Code, DevOps, CI/CD, networking, security and identity management for modern cloud environments. Experience designing ETL/ELT solutions, cloud migrations and modern architecture patterns including Data Mesh and Data Fabric. Excellent stakeholder management, consulting and communication skills, with experience shaping strategy, leading architecture discussions and delivering client value. Eligibility for UK Security Clearance (SC). Desirable: Cloud certifications (minimum intermediate level), AI data architecture expertise, Agile delivery experience, cloud cost optimisation knowledge and experience working within the UK Public Sector, Financial Services, Retail, Telecommunications or Transport sectors. If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Platform Architect, Cloud Data Architect, Enterprise Data Architect, Principal Data Architect, Data Engineering Consultant, Cloud Architect, AI Platform Architect, Data & AI Consultant, Data Solutions Architect, Azure Data Architect, AWS Data Architect, GCP Data Architect, Data Engineering Lead, Solution Architect, Snowflake, Databricks, Synapse, BigQuery, Redshift, AWS, Azure, Google Cloud Platform (GCP), Terraform, CloudFormation, ARM Templates, DevOps, CI/CD, ETL, ELT, Data Mesh, Data Fabric, AI Architecture, Infrastructure-as-Code. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Data Engineering Lead London/Hybrid 12 months contract Day rate 745 via Umbrella Company Our commitment is to provide equal opportunity regardless of, for example, your gender, age, ethnicity, disability, sexual orientation or beliefs. We also engage with employers to develop programmes and pathways that embrace diverse talent and promote more inclusive employment worldwide through partnerships and other initiatives. We recognise and celebrate the value of difference and how it makes us faster, smarter and more innovative than our competition. My client is one of the largest financial institutions headquartered in Japan, with an established presence across all consumer and corporate banking businesses. Through its subsidiaries and affiliates, they offer a diverse range of financial services, including commercial banking, leasing, securities, credit card, consumer finance and other services. They are looking for an experienced Data Engineering Lead to join the team on an initial 12 month contract with the potential to extend. Working Monday to Friday, standard office hours you will be hybrid working being in the office 2-3 days a week. In this role you will be managing a multi-disciplinary Agile delivery squad responsible for the ingestion, transformation and delivery of critical data assets and reporting capabilities. This is a high-impact contract role within a large-scale enterprise data environment, leading delivery across complex programmes and working with stakeholders across Technology, Data, Finance, Risk and Business functions. The Opportunity You will take ownership of a dedicated Agile squad comprising Data Engineers, Reporting Engineers, Business Analysts and Testers, ensuring the successful delivery of data products and reporting solutions into a strategic enterprise data platform. Working within a Scrum of Scrums model, you will coordinate delivery activities across multiple parallel squads, balancing competing priorities, managing dependencies and ensuring programme milestones are achieved. This is a hands-on delivery leadership position requiring strong Agile expertise, stakeholder management capability and a deep understanding of data environments within corporate or investment banking. Key Responsibilities Lead the delivery of data platform initiatives from inception through to production deployment. Manage and coordinate a cross-functional Agile squad of approximately 6-10 resources including Data Engineers, Reporting Engineers, Business Analysts and Testers. Facilitate all Scrum ceremonies including Sprint Planning, Daily Stand-ups, Reviews and Retrospectives. Own sprint execution, delivery planning and backlog management. Work closely with Product Owners and programme stakeholders to prioritise work and manage delivery expectations. Identify, manage and remove delivery impediments and risks. Coordinate dependencies across multiple Agile teams operating within a wider Scrum of Scrums framework. Ensure appropriate governance, reporting, metrics and transparency through JIRA and management information. Drive consistency and discipline around Agile delivery practices, backlog management and requirements quality. Partner with Release Management, Architecture, Data Office and Programme teams to ensure successful delivery outcomes. Provide regular updates to senior stakeholders regarding progress, risks, issues and delivery milestones. What We're Looking For Experience delivering technology or data initiatives within Agile environments. Extensive experience leading Scrum teams and operating within large-scale Scrum of Scrums environments. Strong experience delivering Data Engineering, Data Platform or Data Analytics programmes. Proven track record of managing complex delivery portfolios with multiple workstreams and dependencies. Deep understanding of data domains within corporate or investment banking. Experience working with distributed and offshore delivery teams. Strong stakeholder management skills with the ability to engage technical and non-technical audiences. Excellent knowledge of Agile methodologies, delivery governance and JIRA. Experience holding accountability for delivery outcomes against challenging programme timelines. Experience delivering solutions within Data Lakehouse environments. Understanding of Medallion Architecture. Exposure to Databricks platforms and modern cloud-based data ecosystems. Previous experience working with enterprise data transformation programmes. Qualifications Degree educated or equivalent professional experience. Agile certification or significant practical Agile delivery experience. Candidates must show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
Aug 08, 2026
Contractor
Data Engineering Lead London/Hybrid 12 months contract Day rate 745 via Umbrella Company Our commitment is to provide equal opportunity regardless of, for example, your gender, age, ethnicity, disability, sexual orientation or beliefs. We also engage with employers to develop programmes and pathways that embrace diverse talent and promote more inclusive employment worldwide through partnerships and other initiatives. We recognise and celebrate the value of difference and how it makes us faster, smarter and more innovative than our competition. My client is one of the largest financial institutions headquartered in Japan, with an established presence across all consumer and corporate banking businesses. Through its subsidiaries and affiliates, they offer a diverse range of financial services, including commercial banking, leasing, securities, credit card, consumer finance and other services. They are looking for an experienced Data Engineering Lead to join the team on an initial 12 month contract with the potential to extend. Working Monday to Friday, standard office hours you will be hybrid working being in the office 2-3 days a week. In this role you will be managing a multi-disciplinary Agile delivery squad responsible for the ingestion, transformation and delivery of critical data assets and reporting capabilities. This is a high-impact contract role within a large-scale enterprise data environment, leading delivery across complex programmes and working with stakeholders across Technology, Data, Finance, Risk and Business functions. The Opportunity You will take ownership of a dedicated Agile squad comprising Data Engineers, Reporting Engineers, Business Analysts and Testers, ensuring the successful delivery of data products and reporting solutions into a strategic enterprise data platform. Working within a Scrum of Scrums model, you will coordinate delivery activities across multiple parallel squads, balancing competing priorities, managing dependencies and ensuring programme milestones are achieved. This is a hands-on delivery leadership position requiring strong Agile expertise, stakeholder management capability and a deep understanding of data environments within corporate or investment banking. Key Responsibilities Lead the delivery of data platform initiatives from inception through to production deployment. Manage and coordinate a cross-functional Agile squad of approximately 6-10 resources including Data Engineers, Reporting Engineers, Business Analysts and Testers. Facilitate all Scrum ceremonies including Sprint Planning, Daily Stand-ups, Reviews and Retrospectives. Own sprint execution, delivery planning and backlog management. Work closely with Product Owners and programme stakeholders to prioritise work and manage delivery expectations. Identify, manage and remove delivery impediments and risks. Coordinate dependencies across multiple Agile teams operating within a wider Scrum of Scrums framework. Ensure appropriate governance, reporting, metrics and transparency through JIRA and management information. Drive consistency and discipline around Agile delivery practices, backlog management and requirements quality. Partner with Release Management, Architecture, Data Office and Programme teams to ensure successful delivery outcomes. Provide regular updates to senior stakeholders regarding progress, risks, issues and delivery milestones. What We're Looking For Experience delivering technology or data initiatives within Agile environments. Extensive experience leading Scrum teams and operating within large-scale Scrum of Scrums environments. Strong experience delivering Data Engineering, Data Platform or Data Analytics programmes. Proven track record of managing complex delivery portfolios with multiple workstreams and dependencies. Deep understanding of data domains within corporate or investment banking. Experience working with distributed and offshore delivery teams. Strong stakeholder management skills with the ability to engage technical and non-technical audiences. Excellent knowledge of Agile methodologies, delivery governance and JIRA. Experience holding accountability for delivery outcomes against challenging programme timelines. Experience delivering solutions within Data Lakehouse environments. Understanding of Medallion Architecture. Exposure to Databricks platforms and modern cloud-based data ecosystems. Previous experience working with enterprise data transformation programmes. Qualifications Degree educated or equivalent professional experience. Agile certification or significant practical Agile delivery experience. Candidates must show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
Amtis professional Ltd
Burton-on-trent, Staffordshire
Senior Data Engineer Azure/Databricks £70,000 + bonus Hybrid Working 1 day on-site per week East Midlands based I'm working with a business that's continuing to invest in its Azure data platform and is looking for a Senior Data Engineer to help shape and develop its modern data estate. You'll play a key role in designing and building scalable Azure data solutions, developing robust data pipelines, and supporting a growing analytics platform. Working across Azure Databricks, Data Factory, Synapse Analytics and Azure SQL, you'll help deliver reliable, secure and high-performing data solutions while collaborating closely with technical and business stakeholders. This is an opportunity to work with modern Azure technologies in a business that values innovation and continuous improvement. Key responsibilities: Design and develop scalable Azure data pipelines and ETL solutions Build and optimise Azure-based data warehouses and data lakes Improve platform performance, reliability and scalability Collaborate with business and technical stakeholders to deliver data solutions Support data governance, security and best practice across the platform Contribute to the continuous evolution of the Azure data platform Key experience: Azure Databricks Azure Data Factory Azure Synapse Analytics Azure Data Lake Storage Advanced SQL and Python CI/CD with Azure DevOps Strong stakeholder engagement and communication skills What's on offer: Flexible hybrid working environment Opportunity to influence and develop a modern Azure data platform Work with the latest Azure technologies in a collaborative team with genuine investment in both people and technology Excellent benefits package If you'd be interested in finding out more, or know someone who could be a good fit, please get in touch. (url removed)
Aug 08, 2026
Full time
Senior Data Engineer Azure/Databricks £70,000 + bonus Hybrid Working 1 day on-site per week East Midlands based I'm working with a business that's continuing to invest in its Azure data platform and is looking for a Senior Data Engineer to help shape and develop its modern data estate. You'll play a key role in designing and building scalable Azure data solutions, developing robust data pipelines, and supporting a growing analytics platform. Working across Azure Databricks, Data Factory, Synapse Analytics and Azure SQL, you'll help deliver reliable, secure and high-performing data solutions while collaborating closely with technical and business stakeholders. This is an opportunity to work with modern Azure technologies in a business that values innovation and continuous improvement. Key responsibilities: Design and develop scalable Azure data pipelines and ETL solutions Build and optimise Azure-based data warehouses and data lakes Improve platform performance, reliability and scalability Collaborate with business and technical stakeholders to deliver data solutions Support data governance, security and best practice across the platform Contribute to the continuous evolution of the Azure data platform Key experience: Azure Databricks Azure Data Factory Azure Synapse Analytics Azure Data Lake Storage Advanced SQL and Python CI/CD with Azure DevOps Strong stakeholder engagement and communication skills What's on offer: Flexible hybrid working environment Opportunity to influence and develop a modern Azure data platform Work with the latest Azure technologies in a collaborative team with genuine investment in both people and technology Excellent benefits package If you'd be interested in finding out more, or know someone who could be a good fit, please get in touch. (url removed)
AWS / Data Platform / Cloud / Security Architect Remote Working Outside IR35 Market Rates Start Date - September 2026 The Opportunity: Our client is seeking an experienced Data Platform, Cloud or Security Architect to support the design of a strategic Unified Data Platform for a major UK public sector organisation. This is a high-profile architecture engagement that will help shape the future data capabilities of a nationally significant programme. Working alongside senior architecture consultants and client stakeholders, you'll play a key role in refining the target architecture, ensuring alignment with enterprise architecture, security, governance, operational and non-functional requirements, whilst supporting the organisation through internal architecture review and approval processes. This engagement offers the opportunity to influence the design of a modern cloud-native data platform built around AWS, Databricks and Enterprise Data Governance principles. Skills and Experience: Essential Proven experience operating as an AWS- focussed Data Platform Architect, Cloud Architect, Security Architect or Enterprise Architect within large-scale, complex environments. Strong experience designing modern cloud-based data platforms using AWS. Experience designing enterprise-scale Data Lake and Lakehouse architectures. Strong knowledge of Amazon S3 storage strategies, including Bronze, Silver and Gold data layer architectures. Experience designing scalable data ingestion, integration and orchestration solutions. Strong understanding of Databricks architecture and data engineering patterns. Experience developing enterprise architecture documentation and supporting architecture governance processes. Strong understanding of Data Governance, security and operational best practice. Experience defining non-functional requirements including resilience, scalability, availability, performance and operational support. Excellent stakeholder engagement and communication skills, with the ability to present complex technical concepts to both technical and non-technical audiences. Desirable Experience designing or implementing solutions involving: AWS Data Services Databricks Lakehouse Platform Enterprise Data Governance Cloud Security Architecture Data Integration API-led Architecture Data Quality Frameworks Metadata Management Data Lineage Observability and Monitoring Enterprise Architecture Frameworks Public Sector or Government Digital programmes Technologies Experience across a number of the following technologies would be highly advantageous: AWS / Amazon S3 / Databricks / Lakehouse Architecture / Data Lakes / Data Governance / APIs / Cloud Integration / Enterprise Architecture / Security Architecture / Cloud Security / Data Engineering / Analytics Platforms Role and Responsibilities: You will refine and develop the target architecture for a new Unified Data Platform., ensuring alignment with enterprise architecture, security standards, governance frameworks and operational requirements. Producing high-quality architecture documentation, technical designs and supporting artefacts and design scalable ingestion patterns supporting databases, APIs and file-based integrations. You be involved with defining Data Lake and Lakehouse architecture using Amazon S3, supporting Bronze, Silver and Gold data layers, as well as design transformation, orchestration and processing patterns using Databricks and supporting AWS services. Developing secure and scalable data consumption patterns supporting reporting, analytics, operational applications and APIs, you will be helping to define architecture for governance, security, observability, resilience and operational support, as well as supporting technical governance, architecture review boards and design assurance activities. The role will see you collaborating closely with enterprise architects, security specialists, engineering teams and business stakeholders to ensure the proposed architecture aligns with strategic objectives. NB: The successful candidate will be required to undergo a basic level of security clearance before undertaking the assignment (around one weeks lead-time). Applications: To learn more about this newly created opportunity consulting as an AWS-focused Data Architect for an initial 3-month engagement, operating on a remote-working basis; please call and speak with Edward Laing here at ISR Recruitment or please send through a copy of your latest online profile and/or CV for an immediate call back in the strictest confidence. If you're an experienced Data Platform Architect, Cloud Architect, Security Architect or Enterprise Architect with strong AWS, Databricks and Data Governance expertise , and you're looking to shape the future architecture of a major public sector data platform; p lease contact Edward Laing here at ISR to learn more about our client and how they are leading the way in developing the next generation of technical solutions through innovation and transformational technology?
Aug 08, 2026
Contractor
AWS / Data Platform / Cloud / Security Architect Remote Working Outside IR35 Market Rates Start Date - September 2026 The Opportunity: Our client is seeking an experienced Data Platform, Cloud or Security Architect to support the design of a strategic Unified Data Platform for a major UK public sector organisation. This is a high-profile architecture engagement that will help shape the future data capabilities of a nationally significant programme. Working alongside senior architecture consultants and client stakeholders, you'll play a key role in refining the target architecture, ensuring alignment with enterprise architecture, security, governance, operational and non-functional requirements, whilst supporting the organisation through internal architecture review and approval processes. This engagement offers the opportunity to influence the design of a modern cloud-native data platform built around AWS, Databricks and Enterprise Data Governance principles. Skills and Experience: Essential Proven experience operating as an AWS- focussed Data Platform Architect, Cloud Architect, Security Architect or Enterprise Architect within large-scale, complex environments. Strong experience designing modern cloud-based data platforms using AWS. Experience designing enterprise-scale Data Lake and Lakehouse architectures. Strong knowledge of Amazon S3 storage strategies, including Bronze, Silver and Gold data layer architectures. Experience designing scalable data ingestion, integration and orchestration solutions. Strong understanding of Databricks architecture and data engineering patterns. Experience developing enterprise architecture documentation and supporting architecture governance processes. Strong understanding of Data Governance, security and operational best practice. Experience defining non-functional requirements including resilience, scalability, availability, performance and operational support. Excellent stakeholder engagement and communication skills, with the ability to present complex technical concepts to both technical and non-technical audiences. Desirable Experience designing or implementing solutions involving: AWS Data Services Databricks Lakehouse Platform Enterprise Data Governance Cloud Security Architecture Data Integration API-led Architecture Data Quality Frameworks Metadata Management Data Lineage Observability and Monitoring Enterprise Architecture Frameworks Public Sector or Government Digital programmes Technologies Experience across a number of the following technologies would be highly advantageous: AWS / Amazon S3 / Databricks / Lakehouse Architecture / Data Lakes / Data Governance / APIs / Cloud Integration / Enterprise Architecture / Security Architecture / Cloud Security / Data Engineering / Analytics Platforms Role and Responsibilities: You will refine and develop the target architecture for a new Unified Data Platform., ensuring alignment with enterprise architecture, security standards, governance frameworks and operational requirements. Producing high-quality architecture documentation, technical designs and supporting artefacts and design scalable ingestion patterns supporting databases, APIs and file-based integrations. You be involved with defining Data Lake and Lakehouse architecture using Amazon S3, supporting Bronze, Silver and Gold data layers, as well as design transformation, orchestration and processing patterns using Databricks and supporting AWS services. Developing secure and scalable data consumption patterns supporting reporting, analytics, operational applications and APIs, you will be helping to define architecture for governance, security, observability, resilience and operational support, as well as supporting technical governance, architecture review boards and design assurance activities. The role will see you collaborating closely with enterprise architects, security specialists, engineering teams and business stakeholders to ensure the proposed architecture aligns with strategic objectives. NB: The successful candidate will be required to undergo a basic level of security clearance before undertaking the assignment (around one weeks lead-time). Applications: To learn more about this newly created opportunity consulting as an AWS-focused Data Architect for an initial 3-month engagement, operating on a remote-working basis; please call and speak with Edward Laing here at ISR Recruitment or please send through a copy of your latest online profile and/or CV for an immediate call back in the strictest confidence. If you're an experienced Data Platform Architect, Cloud Architect, Security Architect or Enterprise Architect with strong AWS, Databricks and Data Governance expertise , and you're looking to shape the future architecture of a major public sector data platform; p lease contact Edward Laing here at ISR to learn more about our client and how they are leading the way in developing the next generation of technical solutions through innovation and transformational technology?
Senior Full Stack Engineer 85,000 to 105,000 Permanent Remote, with occasional London office visits The opportunity Our client is hiring a Senior Full Stack Engineer to take ownership of building the next generation of customer-facing software in the energy market. The business operates in a complex, high-value sector and is using technology, data, and strong product thinking to modernise an industry that has historically been underserved by great software. We have already recruited 4 people into the business, and all 4 are still there. We know the company and team well and are pleased to be supporting them again on this important hire. This is a genuinely high-impact opportunity for an experienced engineer who is equally comfortable across frontend and backend development. You will take the lead on building new products and developing the codebase, with significant autonomy over technical decisions, architecture, and delivery. The position can be fully remote, although the business would welcome occasional visits to its Mayfair office for collaboration and team time. The role This is a true full stack position. They need someone strong in React and TypeScript who can build polished, reliable customer-facing software, but who is equally capable of contributing across backend services, APIs, application logic, databases, and data-rich workflows. The platform supports complex energy processes across areas such as billing, metering, consumption, reporting, and asset performance. You will be responsible for taking those workflows and turning them into clear, scalable products that customers genuinely value. Initially, you will lead much of the engineering work independently. You will not, however, be expected to operate without support. The business can provide access to external engineering expertise and additional coding support where needed as the platform and codebase develop. This role offers genuine autonomy. You will have the freedom to make sensible technical decisions, shape engineering standards, and influence how the product evolves as the company grows. What you will be doing Leading the development of customer-facing products from initial concept through to production Building modern frontend applications using React and TypeScript Designing and developing backend services, APIs, integrations, and application logic Working with Python, SQL, databases, and data platforms Taking ownership of architecture, technical decisions, and engineering standards Helping define the future engineering team and technical direction as the business expands What they are looking for Strong commercial experience across both frontend and backend engineering Excellent React and TypeScript capability Strong backend development experience, ideally including Python Good experience with APIs, databases, SQL, and system integrations A track record of leading projects or taking ownership of major technical workstreams Experience building customer-facing software from scratch Strong product instincts and the ability to think beyond individual tickets Confidence making technical decisions and working with a high level of autonomy Excellent communication skills and the ability to work closely with technical and non-technical stakeholders Personality and attitude are particularly important. They want someone positive, proactive, collaborative, and genuinely enthusiastic about building great software. The right person will bring energy to the team, take responsibility, and approach challenges with a practical and constructive mindset. Nice to have Startup or scale-up experience Energy, utilities, trading, sustainability, or fintech experience Data visualisation experience Experience working with Databricks or similar data platforms Experience using AI-assisted development tools Previous involvement in shaping engineering teams, standards, or architecture Why join A salary of 85,000 to 105,000 + Bonus The flexibility to work remotely Occasional collaboration from the Mayfair office Real autonomy over what gets built and how it is delivered Support from external engineering resources when required Broad exposure across frontend, backend, data, architecture, and product Long-term scope to help build and shape the engineering function A growing business operating in a complex and important energy market Summary This is an excellent opportunity for a Senior Full Stack Engineer who wants meaningful ownership rather than simply maintaining an established platform. You will lead the development of customer-facing software, work across React, TypeScript, Python, APIs, databases, and data-rich systems, and have the autonomy to shape the technical direction of a growing energy business. They are looking for someone technically strong, but equally importantly, someone with an excellent attitude who is positive, engaging, and excited by the opportunity to build.
Aug 08, 2026
Full time
Senior Full Stack Engineer 85,000 to 105,000 Permanent Remote, with occasional London office visits The opportunity Our client is hiring a Senior Full Stack Engineer to take ownership of building the next generation of customer-facing software in the energy market. The business operates in a complex, high-value sector and is using technology, data, and strong product thinking to modernise an industry that has historically been underserved by great software. We have already recruited 4 people into the business, and all 4 are still there. We know the company and team well and are pleased to be supporting them again on this important hire. This is a genuinely high-impact opportunity for an experienced engineer who is equally comfortable across frontend and backend development. You will take the lead on building new products and developing the codebase, with significant autonomy over technical decisions, architecture, and delivery. The position can be fully remote, although the business would welcome occasional visits to its Mayfair office for collaboration and team time. The role This is a true full stack position. They need someone strong in React and TypeScript who can build polished, reliable customer-facing software, but who is equally capable of contributing across backend services, APIs, application logic, databases, and data-rich workflows. The platform supports complex energy processes across areas such as billing, metering, consumption, reporting, and asset performance. You will be responsible for taking those workflows and turning them into clear, scalable products that customers genuinely value. Initially, you will lead much of the engineering work independently. You will not, however, be expected to operate without support. The business can provide access to external engineering expertise and additional coding support where needed as the platform and codebase develop. This role offers genuine autonomy. You will have the freedom to make sensible technical decisions, shape engineering standards, and influence how the product evolves as the company grows. What you will be doing Leading the development of customer-facing products from initial concept through to production Building modern frontend applications using React and TypeScript Designing and developing backend services, APIs, integrations, and application logic Working with Python, SQL, databases, and data platforms Taking ownership of architecture, technical decisions, and engineering standards Helping define the future engineering team and technical direction as the business expands What they are looking for Strong commercial experience across both frontend and backend engineering Excellent React and TypeScript capability Strong backend development experience, ideally including Python Good experience with APIs, databases, SQL, and system integrations A track record of leading projects or taking ownership of major technical workstreams Experience building customer-facing software from scratch Strong product instincts and the ability to think beyond individual tickets Confidence making technical decisions and working with a high level of autonomy Excellent communication skills and the ability to work closely with technical and non-technical stakeholders Personality and attitude are particularly important. They want someone positive, proactive, collaborative, and genuinely enthusiastic about building great software. The right person will bring energy to the team, take responsibility, and approach challenges with a practical and constructive mindset. Nice to have Startup or scale-up experience Energy, utilities, trading, sustainability, or fintech experience Data visualisation experience Experience working with Databricks or similar data platforms Experience using AI-assisted development tools Previous involvement in shaping engineering teams, standards, or architecture Why join A salary of 85,000 to 105,000 + Bonus The flexibility to work remotely Occasional collaboration from the Mayfair office Real autonomy over what gets built and how it is delivered Support from external engineering resources when required Broad exposure across frontend, backend, data, architecture, and product Long-term scope to help build and shape the engineering function A growing business operating in a complex and important energy market Summary This is an excellent opportunity for a Senior Full Stack Engineer who wants meaningful ownership rather than simply maintaining an established platform. You will lead the development of customer-facing software, work across React, TypeScript, Python, APIs, databases, and data-rich systems, and have the autonomy to shape the technical direction of a growing energy business. They are looking for someone technically strong, but equally importantly, someone with an excellent attitude who is positive, engaging, and excited by the opportunity to build.
Senior Backend Developer (Python) Remote Contract Remote Contract Start: September 2026 We're recruiting for an experienced Senior Backend Developer to join a high-profile international technology programme focused on building scalable, data-driven applications. This is an exciting opportunity to work on modern backend architecture, processing complex geospatial and temporal data within a collaborative engineering environment. This is a hands-on role where you'll take ownership of features from design through deployment, working closely with architects, data engineers and software developers to deliver robust, production-grade solutions. What you'll be doing Design and develop scalable backend services using Python and FastAPI Build RESTful APIs and microservices Develop data pipelines supporting large-scale analytics platforms Work with Neo4j graph databases and relational databases such as PostgreSQL or SQL Server Collaborate with cross-functional engineering teams to design clean, maintainable software using Domain-Driven Design (DDD) Write high-quality, well-tested code and contribute to code reviews Support CI/CD pipelines, containerised deployments and cloud-native development Troubleshoot performance issues and contribute to architectural decisions Essential Skills & Experience Strong commercial experience with Python Production experience with FastAPI Solid understanding of REST APIs and microservice architectures Experience applying Domain-Driven Design (DDD) Strong SQL skills with PostgreSQL and/or SQL Server Hands-on experience with Neo4j graph databases Experience working with Docker and Kubernetes Knowledge of CI/CD pipelines and Git Understanding of secure software development principles Excellent communication skills and experience working within Agile teams Desirable Experience Databricks Microsoft Azure Event-driven architectures (Kafka, MQTT, Azure Event Hubs, etc.) Geospatial or time-series data Observability tools such as Prometheus, Grafana or OpenTelemetry Eligibility Due to project requirements, applicants must be citizens of a NATO member country and currently reside within a NATO member country. Contract Details Fully remote Start: September 2026 Initial contract through December 2026, with potential for extension International engineering programme Opportunity to work with modern technologies on technically challenging projects If you're an experienced Python Backend Developer looking to work on large-scale distributed systems using modern engineering practices, we'd love to hear from you. Apply today with your latest CV for a confidential discussion.
Aug 08, 2026
Contractor
Senior Backend Developer (Python) Remote Contract Remote Contract Start: September 2026 We're recruiting for an experienced Senior Backend Developer to join a high-profile international technology programme focused on building scalable, data-driven applications. This is an exciting opportunity to work on modern backend architecture, processing complex geospatial and temporal data within a collaborative engineering environment. This is a hands-on role where you'll take ownership of features from design through deployment, working closely with architects, data engineers and software developers to deliver robust, production-grade solutions. What you'll be doing Design and develop scalable backend services using Python and FastAPI Build RESTful APIs and microservices Develop data pipelines supporting large-scale analytics platforms Work with Neo4j graph databases and relational databases such as PostgreSQL or SQL Server Collaborate with cross-functional engineering teams to design clean, maintainable software using Domain-Driven Design (DDD) Write high-quality, well-tested code and contribute to code reviews Support CI/CD pipelines, containerised deployments and cloud-native development Troubleshoot performance issues and contribute to architectural decisions Essential Skills & Experience Strong commercial experience with Python Production experience with FastAPI Solid understanding of REST APIs and microservice architectures Experience applying Domain-Driven Design (DDD) Strong SQL skills with PostgreSQL and/or SQL Server Hands-on experience with Neo4j graph databases Experience working with Docker and Kubernetes Knowledge of CI/CD pipelines and Git Understanding of secure software development principles Excellent communication skills and experience working within Agile teams Desirable Experience Databricks Microsoft Azure Event-driven architectures (Kafka, MQTT, Azure Event Hubs, etc.) Geospatial or time-series data Observability tools such as Prometheus, Grafana or OpenTelemetry Eligibility Due to project requirements, applicants must be citizens of a NATO member country and currently reside within a NATO member country. Contract Details Fully remote Start: September 2026 Initial contract through December 2026, with potential for extension International engineering programme Opportunity to work with modern technologies on technically challenging projects If you're an experienced Python Backend Developer looking to work on large-scale distributed systems using modern engineering practices, we'd love to hear from you. Apply today with your latest CV for a confidential discussion.
Location: London (Hybrid - 1-2 days per week onsite) Salary: 90,000 - 100,000 + Excellent Benefits Job Type: Permanent Are you an experienced Data Architect looking to shape the future of enterprise data platforms? We're working with a leading global organisation that is investing heavily in cloud, data and AI transformation. As part of this growth, they're looking for a Senior Data Architect to design and deliver enterprise-scale data platforms that power advanced analytics, machine learning and AI solutions. This is an opportunity to work on large-scale transformation programmes, influencing data strategy and architecture while working with some of the latest cloud technologies. The Role As a Senior Data Architect, you'll be responsible for designing scalable, secure and high-performing data platforms across cloud environments. You'll work closely with technical teams, stakeholders and business leaders to define architecture, establish best practices and deliver modern data solutions. Key Responsibilities Design and architect enterprise-scale cloud data platforms. Define data architecture strategies, standards and governance. Deliver modern data solutions using Databricks , Snowflake , AWS and GCP . Enable advanced analytics, AI and machine learning capabilities. Work closely with engineering, data and business teams to deliver end-to-end solutions. Provide technical leadership throughout the project lifecycle. Ensure solutions are secure, scalable and aligned with business objectives. Skills & Experience We're looking for professionals with experience in: Enterprise Data Architecture. Databricks. Snowflake. AWS and/or GCP. Designing modern cloud data platforms. Data Lakes, Data Warehouses and Lakehouse architectures. Data governance, security and architecture best practices. AI, Machine Learning or Data Science platforms (highly desirable). Banking, Financial Services or other highly regulated industries (preferred).
Aug 07, 2026
Full time
Location: London (Hybrid - 1-2 days per week onsite) Salary: 90,000 - 100,000 + Excellent Benefits Job Type: Permanent Are you an experienced Data Architect looking to shape the future of enterprise data platforms? We're working with a leading global organisation that is investing heavily in cloud, data and AI transformation. As part of this growth, they're looking for a Senior Data Architect to design and deliver enterprise-scale data platforms that power advanced analytics, machine learning and AI solutions. This is an opportunity to work on large-scale transformation programmes, influencing data strategy and architecture while working with some of the latest cloud technologies. The Role As a Senior Data Architect, you'll be responsible for designing scalable, secure and high-performing data platforms across cloud environments. You'll work closely with technical teams, stakeholders and business leaders to define architecture, establish best practices and deliver modern data solutions. Key Responsibilities Design and architect enterprise-scale cloud data platforms. Define data architecture strategies, standards and governance. Deliver modern data solutions using Databricks , Snowflake , AWS and GCP . Enable advanced analytics, AI and machine learning capabilities. Work closely with engineering, data and business teams to deliver end-to-end solutions. Provide technical leadership throughout the project lifecycle. Ensure solutions are secure, scalable and aligned with business objectives. Skills & Experience We're looking for professionals with experience in: Enterprise Data Architecture. Databricks. Snowflake. AWS and/or GCP. Designing modern cloud data platforms. Data Lakes, Data Warehouses and Lakehouse architectures. Data governance, security and architecture best practices. AI, Machine Learning or Data Science platforms (highly desirable). Banking, Financial Services or other highly regulated industries (preferred).
Amtis professional Ltd
Burton-on-trent, Staffordshire
Senior BI Analyst £60,000-£70,000 + bonus Hybrid Working 1 day on-site per week East Midlands based I'm working with a business that's investing heavily in its Databricks platform and is looking for someone to take ownership of the analytics layer. You'll play a key role in building and maintaining Gold Layer data products within a modern Lakehouse architecture, working closely with Data Engineering and Data Insights to transform trusted data into semantic models, dashboards and business insights. This is an opportunity to work with Databricks, Unity Catalog and Power BI in a role that combines technical delivery with close collaboration across the business. Key experience: Hands-on experience with Databricks Lakehouse Unity Catalog and Delta Lake Medallion Architecture Advanced SQL Power BI and semantic modelling Strong stakeholder engagement and communication skills What's on offer: Flexible hybrid working environment Opportunity to shape a modern analytics platform Work with the latest Databricks technologies in a collaborative environment investing heavily into the team and technology If you'd be interested in finding out more, or know someone who could be a good fit, please get in touch. (url removed)
Aug 07, 2026
Full time
Senior BI Analyst £60,000-£70,000 + bonus Hybrid Working 1 day on-site per week East Midlands based I'm working with a business that's investing heavily in its Databricks platform and is looking for someone to take ownership of the analytics layer. You'll play a key role in building and maintaining Gold Layer data products within a modern Lakehouse architecture, working closely with Data Engineering and Data Insights to transform trusted data into semantic models, dashboards and business insights. This is an opportunity to work with Databricks, Unity Catalog and Power BI in a role that combines technical delivery with close collaboration across the business. Key experience: Hands-on experience with Databricks Lakehouse Unity Catalog and Delta Lake Medallion Architecture Advanced SQL Power BI and semantic modelling Strong stakeholder engagement and communication skills What's on offer: Flexible hybrid working environment Opportunity to shape a modern analytics platform Work with the latest Databricks technologies in a collaborative environment investing heavily into the team and technology If you'd be interested in finding out more, or know someone who could be a good fit, please get in touch. (url removed)
