86 jobs found

Senior Data Engineer Cardiff (hybrid) £47,675 Benefits: 28.9% Pension & 31 days annual leave + Bank Holidays, and 2 Privilege days We're looking for an experienced Senior Data Engineer to design and build a modern cloud data platform from the ground up. This is a greenfield opportunity where you'll shape the organisation's data architecture, establish engineering best practices, and create scalable solutions that power reporting, analytics, and future AI initiatives. If you enjoy solving complex data challenges, building robust platforms, and influencing technical direction, this role offers genuine ownership and impact. What You'll Be Doing Design and build a modern Azure-based data platform Develop scalable ETL/ELT pipelines using Databricks, Spark and Azure services Implement secure, governed data solutions following DataOps and DataSecOps principles Create high-quality data models to support reporting and self-service analytics Develop and optimise Power BI semantic models and reporting architecture Ensure data quality, security and performance across the platform Champion CI/CD, automation and engineering best practices Mentor junior engineers and contribute to technical leadership Collaborate with stakeholders to turn business requirements into scalable data solutions Essential Skills Strong SQL and Python (PySpark preferred) Proven experience building cloud-based data platforms on Azure Hands-on experience with Azure Databricks, Delta Lake and Azure Data Lake Expertise designing ETL/ELT pipelines Experience with Power BI administration and data modelling Knowledge of Git, CI/CD and modern engineering practices Strong understanding of data governance, security and access control Experience designing scalable analytics and reporting solutions Nice to Have Medallion Architecture or Lakehouse experience Azure Data Factory, dbt or Prefect DataSecOps and cloud security experience AI/ML data preparation knowledge Experience leading technical projects or mentoring engineers You'll Thrive Here If You Enjoy building solutions from the ground up Take ownership and drive technical decisions Balance engineering excellence with practical delivery Communicate confidently with both technical and non-technical stakeholders Enjoy mentoring others and sharing knowledge Have a continuous improvement mindset Why Join? Greenfield engineering opportunity Significant technical ownership and autonomy Opportunity to influence long-term data strategy Modern Azure technology stack Collaborative engineering culture Opportunity to mentor and shape engineering standards Work on projects that deliver genuine business impact Benefits: 31 days annual leave + Bank Holidays, and 2 Privilege days Flexible and hybrid working Generous employer contribution of 28.97% Time off for wellbeing activities Green car scheme Cycle2Work and season travel tickets Access to subsidised sports groups Think this one's for you If you think this Senior Data Engineer opportunity is for you then please apply online. Yolk Public Sector & Not-for-Profit team works with organisations across the UK to fulfil their recruitment needs and to achieve their D&I objectives. We recruit temporary, contract and permanent hires for 1 off specialist needs or for volume campaigns. We support our applicants to navigate the public sector recruitment processes and secure their dream jobs. Yolk Recruitment is an equal opportunities employer and embraces diversity in our workforce. We employ the best people for the job at hand and actively encourage applications from all qualified candidates, regardless of gender, age, race, religion, sexual orientation, disability, educational background, parental status, gender identity or any other protected characteristic. We champion and celebrate diversity at Yolk allowing our team to bring their whole selves to work.

We are seeking a highly skilled IT Business Solutions Manager specialising in Data & Analytics within the Azure and IT domain to join our client. In this role, you will be instrumental in supporting Western European markets by designing, implementing, and evolving data-driven solutions to optimise decision-making. Your primary focus will be on maximising data value through advanced analytical tools, robust project management, and a collaborative approach with global teams. You will oversee the full lifecycle of data solutions, from data ingestion and processing to insight generation and visualisation, ensuring compliance with security standards and driving continuous improvement across regional markets. Bachelor's degree in Computer Science, Data Science, Engineering or related field, or relevant certifications. Experience in IT architecture and solutions for data flow among systems and applications. Experience in data analysis and insights generation, preferably within FMCG. Proven track record delivering data solutions on the Microsoft Azure platform, including Azure Databricks, Data Factory, and Data Lake. Strong understanding of Azure PaaS management, resource monitoring, and CI/CD processes. Proficiency in SQL, Python / PySpark, and the Microsoft Power Platform. This role offers a competitive annual salary of £70,000 and excellent employee benefits, including 16% non contributory pension 26 days holiday entitlement advancements in the FMCG sector.

Data Solution Architect Retail London I'm currently supporting a leading UK retail organisation undergoing a major data transformation programme and seeking an experienced Data Solution Architect to help shape the future of its customer data capabilities.This is an exciting opportunity to define and influence enterprise-wide customer data architecture, working across analytics, personalisation, CRM, loyalty and marketing functions to deliver scalable, secure and business-focused data solutions. Role & Responsibilities • Define target-state and transition-state customer data architectures• Design scalable customer data solutions that support analytics, personalisation and business growth• Lead architectural decisions around customer data management, identity resolution and master data management• Produce architecture artefacts and design documentation for engineering teams• Review solution designs for alignment with architecture principles and governance standards• Collaborate with Data, Analytics, CRM, Loyalty, Marketing and Technology stakeholders• Drive best practice across data integration, governance, quality and security Skills & Experience • Proven experience as a Data or Solution Architect within a large-scale retail environment• Strong background in Customer Data Architecture and Customer Data Management• Experience designing Data Lake and Lakehouse solutions• Strong understanding of Analytics, Reporting and Customer Insight platforms• Knowledge of Data Governance, Security and Enterprise Architecture principles• Experience presenting solutions and influencing senior stakeholders• Ability to create and govern architecture standards, design principles and design decisions Desirable Experience • Azure-based data platforms and services• Databricks• Machine Learning and AI-driven personalisation solutions• Agile delivery environments• Mentoring and reviewing architecture produced by others Contract Details • 6-Month Initial Contract• Up to £750 per day (Umbrella)• Inside IR35• Hybrid Working - 3 Days per Week Onsite in LondonIf you're interested in hearing more, or know someone who could be a great fit, please get in touch.

Data Platform Engineer London (Hybrid) 6 Month Contract £(Apply online only)/day (Inside IR35) Data Platform Engineer needed with strong AWS cloud platform migration and Terraform expertise. 6 Month Rolling Contract based in London (Hybrid), with occasional travel to the Leeds office. Hybrid Working - 3-4 days/week remote (WFH) + 1-2 days/week working from the office in London . A chance to work with a leading global IT transformation business specialising in large-scale Government projects: In-depth Data Engineering experience + AWS cloud data platform migration experience. The role will focus on Data Engineering, cloud platform migration, infrastructure automation + supporting the delivery of large-scale data processing solutions. Supporting a major Data platform modernisation programme including migration of data pipelines, notebooks + data workloads from legacy Databricks environment to modern AWS cloud-based data platforms. Strong Terraform + Infrastructure as Code (IaC) skills including developing + maintaining Terraform code to support data platform deployments. Supporting deployment of data platform components, jobs, permissions + environment configurations. Analysing current Data Engineering solutions + identifying data migration requirements. Onboarding datasets, users + workloads onto target platform. Data Engineering: Python, PySpark, SQL, Data Pipeline Development, ETL/ELT Design, Data Modelling, Data Quality, Data Validation. AWS Cloud Platform, S3, IAM, CI/CD concepts, DevOps principles, Agile Delivery. Advantageous Skills: Databricks, Palantir Foundry, Foundry Pipeline Builder, Ontology concepts, Delta Lake, Secure Data Environment (SDE) experience, NHS / Healthcare data experience. Government / (url removed) / Public Sector domain experience strongly preferred. Must be active SC Cleared or fully eligible to undergo the full SC Security Clearance process.

Data Platform Manager UK / Remote Circa 65k - 75k per annum + bonus & benefits Are you ready to take ownership of a data platform and shape how data drives business decisions? This is a rare opportunity to step into a leadership role where you'll combine hands-on data engineering with strategic product management, all while building and mentoring a high-performing team. You'll play a pivotal role in evolving a modern data platform (Microsoft Fabric / Azure Synapse), ensuring it delivers real business value, scalability, and innovation. If you're passionate about data, leadership, and building robust data solutions-this is one you don't want to miss. What you'll be doing Own the end-to-end lifecycle of a core data platform, from design and build through to release, optimisation, and retirement Collaborate closely with product owners and data scientists to align platform capabilities with business needs Lead datalake migration initiatives, including consolidation of legacy data, medallion architecture design, schema evolution, and cutover planning Provide hands-on data engineering expertise, building and optimising PySpark pipelines Ensure data is secure, high-quality, accessible, and structured for maximum business value Drive best practice in data governance, cataloguing, lineage, and standards across the organisation Promote data re-use and reduce duplication across systems Oversee ETL processes, data integration, and BI architecture Manage and develop a small, high-performing data team, including mentoring, 1:1s, and continuous improvement initiatives Work closely with stakeholders across operations, analytics, and reporting teams Ensure compliance with data protection regulations and internal policies What you'll bring Strong hands-on experience in data engineering, including PySpark and production data pipelines Experience with Microsoft Fabric, Azure Synapse, or similar platforms (e.g. Databricks, AWS) Proven ability to design and manage scalable data pipelines, models, and schemas Solid SQL and relational database expertise Experience with datalake migration concepts (medallion architecture, incremental loads, backfill, cutover) Strong understanding of data governance, quality, and lifecycle management Experience with BI tools such as Power BI or Tableau Knowledge of DevOps practices (Git, Azure DevOps, CI/CD pipelines) Strong Python skills and experience with APIs/data integration tools Understanding of data protection regulations Leadership experience with the ability to mentor and develop teams Excellent communication, problem-solving, and stakeholder management skills Desirable: Experience with project management methodologies, SDLC tools, and awareness of emerging data trends What's in it for you? Performance-related bonus Private healthcare and life assurance 33 days annual leave (rising to 38 with service) Discounts across major retailers, restaurants, and holidays Generous family benefits and staff discounts Award-winning training and clear career progression Comprehensive wellbeing support for you and your family If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Product Manager, Data Engineering Lead, Lead Data Engineer, Azure Data Engineer, Data Platform Manager, Analytics Engineering Manager, Cloud Data Engineer, BI & Data Lead, PySpark Engineer, Databricks Engineer, Head of Data Engineering. 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.

Power BI Consultant London Hybrid 4 days on site 450 - 500 6 months We are seeking an experienced Power BI Consultant to lead a high-profile migration from QlikSense to Power BI within a leading organisation. This is a hands-on role for someone who can hit the ground running, take ownership of the migration, and deliver robust, scalable reporting solutions. You will play a key part in redesigning and optimising the existing analytics environment using modern data platforms. Key Responsibilities Lead the end-to-end migration from QlikSense to Power BI Assess and translate existing dashboards, reports, and data models into Power BI equivalents Design and build high-quality reports and dashboards aligned with business requirements Develop and optimise semantic models (data models) in Power BI Collaborate with data engineering teams working across Fabric, Azure, and Databricks Ensure best practices across performance, governance, and usability Engage with stakeholders to gather requirements and deliver actionable insights Required Skills & Experience Proven experience delivering BI migrations (ideally QlikSense to Power BI) Strong expertise in Power BI (reporting, DAX, data modelling, performance tuning) Experience building and managing semantic/data models Strong experience working with Azure, Databricks and Fabric Strong stakeholder engagement and communication skills Experience in the financial sector is advantageous If this is a role that suits your skill set and you are available to work 4 days per week on site in the London office then please apply for the job advert or email me your CV to (url removed) Power BI Consultant London Hybrid 4 days on site 450 - 500 6 months

Overview Expleo is seeking a Data Engineer / Data Scientist with a strong background in IT quality, testing, and aerospace engineering to join our dynamic team in Derby. This role is ideal for someone who thrives in high-integrity environments and is passionate about ensuring data accuracy, reliability, and performance in mission-critical systems. You'll work at the intersection of Python development, data validation, and engineering analytics, supporting aerospace programmes with cutting-edge tools and methodologies. Responsibilities Rapidly design, configure & deploy EHM solutions to support the service and improve its effectiveness. Capture requirements for EHM improvements through Value Delivery Board, Project Zero and any other relevant forums. Design and implement automated testing frameworks to validate data pipelines and ensure compliance with aerospace standards. Develop and maintain Python scripts for data validation, anomaly detection, and quality assurance. Analyse complex datasets to identify trends, inconsistencies, and optimisation opportunities. Collaborate with engineering and IT teams to define data requirements, testing protocols, and quality benchmarks. Respond to in-service issues by reconfiguring live data streams and deploying new analytics to maintain fleet-level data integrity. Drive continuous improvement initiatives, embedding best practices in IT quality and testing across the data lifecycle. Work with customers to enhance the value of EHM services & identify future EHM opportunities. Qualifications Degree in Aero Engineering, Data Science, Computer Science, Data Engineering or relevant experience in EHM service, engine performance or service engineering or a related field. Essential skills Python expertise - able to design, test, and optimise robust scripts and frameworks for data analysis, automation, and quality assurance. Strong proficiency in SQL for querying, manipulation, and quality assurance. Solid understanding of IT quality principles, testing methodologies, and defect management. Strong analytical and problem-solving skills, with attention to detail and ability to meet tight deadlines. Excellent communication and collaboration skills across technical and non-technical teams. Familiarity with Azure cloud-based data platforms is desirable. Focused on results, able to work under pressure, equally capable of managing short term deadlines and long-term projects. Positive attitude to work, strong team working skills and ethical behaviour, being able to work with minimum supervision. Strong IT user & configuration skills (to include applications such as SQL, Power BI, Matlab, Phyton, MS Azure, Databricks) Experience Knowledge of statistical analysis and data modelling techniques. Experience with data quality monitoring tools or test automation frameworks. Experience with MATLAB or similar engineering analysis tools is preferred. Aerospace or engineering sector experience, ideally in Engine Health Monitoring, Engine Performance, or Service Engineering. Proven experience in testing & validation - building automated checks, ensuring data integrity, and applying Python in complex engineering or aerospace contexts. Benefits Collaborative working environment - we stand shoulder to shoulder with our clients and our peers through good times and challenges We empower all passionate technology loving professionals by allowing them to expand their skills and take part in inspiring projects Expleo Academy - enables you to acquire and develop the right skills by delivering a suite of accredited training courses Competitive company benefits Always working as one team, our people are not afraid to think big and challenge the status quo As a Disability Confident Committed Employer we have committed to: Ensure our recruitment process is inclusive and accessible. Communicating and promoting vacancies. Offering an interview to disabled people who meet the minimum criteria for the job Anticipating and providing reasonable adjustments as required Supporting any existing employee who acquires a disability or long term health condition, enabling them to stay in work at least one activity that will make a difference for disabled people "We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age". We treat everyone fairly and equitably across the organisation, including providing any additional support and adjustments needed for everyone to thrive.

Job Title: Data Architect - Databricks - dbt - Azure Location: London - 2 days per week in the office Salary/Rate: 500 per day inside IR35 Start Date: 13/07/2026 Job Type: Contract until the end of the year Company Introduction We have an exciting opportunity now available with one of our sector-leading consultancy clients! They are currently looking for a skilled Enterprise Data Architect with strong Databricks, dbt and Azure experience to join their team for a contract until the end of the year. Job Responsibilities/Objectives Mandatory Skills: Databricks (PySpark / Spark SQL) , DBT , Azure DevOps (Repos, Pipelines, CI/CD), SQL ,Azure Data Services (Data Lake, Data Factory) Strong experience with Databricks (PySpark / Spark SQL) Hands-on expertise in DBT Expertise in Azure DevOps (Repos, Pipelines, CI/CD) Proficiency in SQL and Python Experience with Azure Data Services (Data Lake, Data Factory) Strong knowledge of Data warehousing and ETL/ELT concepts Knowledge of Data governance and security best practices Design and Leading the team of Data Engineers Manage stakeholder interactions independently. Good to Have Experience with Fivetran for data ingestion Experience with Prefect for workflow orchestration If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format. Disclaimer Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies. Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.

Location: Newcastle upon Tyne (primarily remote, occasional travel) Contract Type: Contract (Outside IR35) Day Rate: Up to 800 per day The Opportunity We're partnering with a highly respected Software business to find an experienced Data Engineer to support a major client engagement. This is a hands-on, client-facing role where you'll play a key part in shaping and delivering modern data platforms and pipelines. You'll work closely with stakeholders to unlock the value of data, building scalable solutions that support analytics, reporting, and advanced use cases such as machine learning. Role responsibilities: Lead the design and delivery of robust, scalable data platforms and pipelines Work alongside client teams to understand requirements and translate them into effective technical solutions Build and optimise data ingestion, transformation, and storage processes Develop integrated data models to enable reporting, analytics, and AI use cases Provide technical leadership and guidance to engineers within the delivery team Contribute to architectural decisions and best practices across the project lifecycle Key Skills & Experience we're looking for: Strong background in data engineering and software development Proven experience working with Databricks (essential) Hands-on expertise with tools such as Python, PySpark, Spark, and SQL Experience building and maintaining data pipelines and data platforms Solid understanding of data modelling and data architecture principles Experience working with cloud platforms (AWS, Azure, or GCP) Comfortable working in client-facing environments Why Apply? Great flexible working arrangement Opportunity to work on complex, high-impact data projects Collaborative, engineering-led culture with a focus on quality

About the Company A leading UK consulting and administration business specialising in pensions and insurance services. The organisation combines deep industry expertise with advanced technology and analytics to support large-scale pension schemes and their sponsoring employers. It provides administration for over one million members and delivers advisory services across schemes of all sizes, including many with assets exceeding £1bn. It also supports insurance clients in the life and bulk annuities sector. Package Details Remote (UK) | £45,000-£60,000 + 6% bonus Main Duties and Responsibilities Model Development (Azure Machine Learning Studio focus) Work collaboratively with actuarial and analytics teams to design, build, and deploy machine learning and statistical models using Azure Machine Learning Studio (AML Studio) in production environments. Apply appropriate ML techniques to improve predictions such as longevity, default risk, and investment outcomes. Machine Learning Operations (MLOps in Azure) Manage the full ML life cycle using Azure ML Studio, including deployment, monitoring, retraining pipelines, and version control. Implement robust MLOps practices such as model drift detection, data quality monitoring, and automated retraining workflows. Data Engineering and Preprocessing Develop and maintain scalable data pipelines using Python, SQL, and Azure Data Factory (ADF). Ensure data is clean, reliable, and structured for use in Azure ML Studio workflows. Software Development Produce clean, efficient, and production-grade Python code. Apply CI/CD practices and DevOps/MLOps principles integrated with Azure Machine Learning Studio environments. Cross-functional Collaboration Work closely with actuarial analysts and modelling teams to translate outputs from Azure ML Studio into actionable insights and business recommendations. Innovation and Continuous Improvement Stay up to date with developments in Azure Machine Learning Studio, MLOps, and data science technologies, identifying opportunities to improve models, automation, and delivery efficiency. Training and Knowledge Sharing Support and train team members on machine learning approaches and Azure ML Studio workflows, including deployment and monitoring practices. Stakeholder Communication Clearly explain machine learning concepts and Azure ML Studio-based solutions to both technical and non-technical stakeholders. Job Requirements Essential Strong hands-on experience with Azure Machine Learning Studio (AML Studio), including end-to-end model development, deployment, monitoring, and life cycle management in production environments Experience building and optimising ML models using Azure ML workflows Strong Python and SQL skills for data manipulation, modelling, and automation Experience with Azure Data Factory (ADF) for data pipeline development Strong understanding of CI/CD and MLOps practices, ideally within Azure environments Experience with data visualisation tools such as Power BI Strong communication skills with ability to explain technical concepts clearly to non-technical audiences Desirable Experience in pensions, insurance, or regulated financial services Experience working in multidisciplinary analytics or actuarial teams Broader exposure to Azure ecosystem tools (eg, Azure DevOps, Databricks) Key Requirement The most critical requirement for this role is hands-on, production-level experience with Azure Machine Learning Studio (AML Studio), including building and deploying ML models end-to-end, managing model life cycle in production, implementing MLOps workflows (monitoring, drift detection, retraining), and integrating Azure ML Studio with data pipelines and CI/CD processes. Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website

Data Engineer SQL London Location London, Hybrid, 3 days in the office each week (Monday, Tuesday and Wednesday) Salary 45,000 to 50,000 dependent on experience Ref J13133 We are looking for a Data Engineer to join an AI-first SaaS business developing next-generation analytics and decision intelligence products. Working alongside Product Managers, AI Engineers and Analysts, you will help build the data platforms, pipelines and models that power production AI solutions used by organisations across multiple sectors. What You'll Be Doing Building and maintaining data pipelines using SQL and Python Developing data models for analytics and AI applications Working with cloud platforms including Azure, AWS or GCP Supporting CI/CD processes and automated deployments Implementing data quality, monitoring and validation processes Collaborating with Product, Engineering and AI teams on new product development What We're Looking For Commercial Data Engineering experience Strong SQL skills Python experience Exposure to Azure, AWS or GCP Understanding of data modelling and data warehousing principles Experience working with Git and CI/CD processes Strong communication skills and a collaborative mindset Nice to Have SaaS or product development experience Exposure to AI or machine learning environments Experience with Databricks, Fabric or modern cloud data platforms The Opportunity Work on AI-powered products rather than internal reporting Join a collaborative product engineering team Exposure to modern cloud and AI technologies Opportunity to influence products used by real customers Excellent environment for learning and development 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)

Data & AI Delivery Senior Manager/Associate Director Capital Markets Location: Edinburgh Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13121 Senior Data & AI Delivery professionals are required to lead the delivery of complex data transformation and AI programmes within financial services and capital markets environments. You will bring experience delivering large scale data and AI initiatives within complex environments and play a key role in shaping delivery strategy, leading teams and driving transformational change, helping organisations solve complex operational, technical and business challenges through data and AI adoption. You will work across multidisciplinary teams, collaborating with Data Engineers, AI Engineers, Architects, Data Scientists and senior stakeholders to drive programme delivery, shape solutions and support organisations through complex transformation initiatives. Key responsibilities: Leading the delivery of complex data and AI transformation programmes across multiple workstreams Managing multidisciplinary teams to deliver business critical technology outcomes Collaborating directly with clients to understand challenges and shape tailored solutions Translating technical requirements into business outcomes and delivery plans Managing programme risks, dependencies, timelines and stakeholder expectations Supporting the implementation of modern data platforms and AI driven solutions Providing technical guidance and oversight across delivery teams Building and maintaining strong relationships with client and business stakeholders Supporting programme governance, reporting and communication across large initiatives Applying market and industry knowledge to help shape client strategies and solutions Supporting pre sales activity, technical proposals and client presentations Coaching and mentoring team members across multidisciplinary environments Experience Required: Experience delivering large scale data, AI or technology transformation programmes Background within consulting, programme delivery, implementation or transformation environments Experience leading teams across complex projects and multiple workstreams Strong communication and stakeholder management skills with the ability to bridge technical and business audiences Experience gathering requirements and shaping solutions aligned to business objectives Understanding of AI technologies, modern data platforms and data management principles Knowledge of data governance, data quality and data strategy concepts Familiarity with delivery methodologies including Agile, Waterfall or SAFe Experience with tooling such as Jira, Confluence or similar platforms Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python Financial services experience within capital markets or broader banking environments This is a strong opportunity for a delivery leader who wants to work on high impact data and AI 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)

AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13119 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: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13116 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 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)

Data & AI Delivery Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13120 Senior Data & AI Delivery professionals are required to lead the delivery of complex data transformation and AI programmes within financial services and capital markets environments. You will bring experience delivering large scale data and AI initiatives within complex environments and play a key role in shaping delivery strategy, leading teams and driving transformational change, helping organisations solve complex operational, technical and business challenges through data and AI adoption. You will work across multidisciplinary teams, collaborating with Data Engineers, AI Engineers, Architects, Data Scientists and senior stakeholders to drive programme delivery, shape solutions and support organisations through complex transformation initiatives. Key responsibilities: Leading the delivery of complex data and AI transformation programmes across multiple workstreams Managing multidisciplinary teams to deliver business critical technology outcomes Collaborating directly with clients to understand challenges and shape tailored solutions Translating technical requirements into business outcomes and delivery plans Managing programme risks, dependencies, timelines and stakeholder expectations Supporting the implementation of modern data platforms and AI driven solutions Providing technical guidance and oversight across delivery teams Building and maintaining strong relationships with client and business stakeholders Supporting programme governance, reporting and communication across large initiatives Applying market and industry knowledge to help shape client strategies and solutions Supporting pre sales activity, technical proposals and client presentations Coaching and mentoring team members across multidisciplinary environments Experience Required: Experience delivering large scale data, AI or technology transformation programmes Background within consulting, programme delivery, implementation or transformation environments Experience leading teams across complex projects and multiple workstreams Strong communication and stakeholder management skills with the ability to bridge technical and business audiences Experience gathering requirements and shaping solutions aligned to business objectives Understanding of AI technologies, modern data platforms and data management principles Knowledge of data governance, data quality and data strategy concepts Familiarity with delivery methodologies including Agile, Waterfall or SAFe Experience with tooling such as Jira, Confluence or similar platforms Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python Financial services experience within capital markets or broader banking environments This is a strong opportunity for a delivery leader who wants to work on high impact data and AI 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)

Job Title: Technical Delivery Lead - Data Engineering Lead (Hands-on Python / Databricks) Contract: 6 months - Potentially extension. Location: London Hybrid (5 days in 10 in the office) Rate: Highly competitive Status: Inside IR35 Working pattern: Full time We are seeking an experienced Technical Delivery Lead with strong expertise in Python, Databricks, and Apache Spark to lead the successful delivery of enterprise-scale data engineering initiatives This is a hands-on leadership role combining technical delivery, solution design, and data engineering expertise. The successful candidate will lead the delivery of a greenfield data platform while remaining actively involved in development activities. Essential Skills Proven experience in Data Engineering or Software Engineering. Previous experience in a Technical Lead, Lead Data Engineer, or Technical Delivery Lead position. Strong hands-on expertise with Python. Extensive experience with Databricks, including Workflows, Notebooks, and Delta Lake. Strong experience with Apache Spark /PySpark. Proven track record building and optimising large-scale ETL/ELT pipelines. Strong understanding of modern data architecture and Lakehouse principles. Excellent SQL skills and experience working with distributed data systems. Experience working with cloud platforms such as AWS, Azure, or GCP. Strong Agile delivery experience. Experience leading technical teams and delivering complex projects. Expected split: 30-50% hands-on coding + technical problem-solving Key Responsibilities Lead end-to-end delivery of data engineering solutions. Design and build scalable data pipelines using Databricks and Azure. Develop and optimise solutions using Python and PySpark. Drive engineering best practices, code reviews, and technical standards. Work closely with architecture, business, and technology stakeholders. Mentor and support engineers within the team. Contribute to data platform and Lakehouse architecture decisions. What We're Looking For Approximately 60% hands-on engineering and 40% technical leadership. Proven experience leading data engineering teams. Strong stakeholder management and communication skills. Experience delivering greenfield data platform initiatives. This is an excellent opportunity to join a high-profile programme with significant scope for extension and future team growth. Why Join Us? Work on innovative projects that make a difference in the financial sector. Collaborate with a talented team in a vibrant environment. Enjoy a competitive daily rate and flexible working arrangements. If you are ready to take your career to the next level and contribute to exciting projects, apply now! We can't wait to meet you! Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

Platform Engineer 12 months Swindon - hybrid Inside IR35 - umbrella only Primary skills Data Engineering & Pipeline Development (ETL/ELT design and implementation) Strong SQL & Data Modeling (query optimization, schema design) Programming Skills (Python / Scala for data processing) Big Data Processing (Spark / Databricks) Cloud Data Platforms (Azure / AWS / GCP - especially data services) Secondary skills API-based Data Integration & Microservices exposure Banking / Financial Services Domain Experience If you're passionate about data engineering and eager to contribute to a forward-thinking organisation, we want to hear from you! If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

Data Delivery Lead London Hybrid Up to £100,000 + Bonus VIQU have partnered with a leading financial services organisation who are seeking a Data Delivery Lead with extensive insurance experience to manage multiple complex data programmes. You will be responsible for the end-to-end delivery of enterprise-scale data initiatives, including platforms, products, and capabilities. Working closely with senior stakeholders and cross-functional teams, you will ensure data solutions are delivered iteratively, reliably, and in line with business priorities, unlocking the full value of the organisation s data estate. Key Responsibilities of the Data Delivery Lead: Lead the delivery of multiple complex data programmes, ensuring alignment with strategic business and data objectives. Plan, oversee, and govern programme delivery, including scheduling, dependencies, risk management, and change control. Manage the incremental release of data capabilities across enterprise platforms. Identify, assess, and mitigate risks, interdependencies, and issues across multiple programmes. Act as the primary liaison for senior stakeholders across business, technical, and operational functions. Drive adoption of Agile delivery practices, embedding iterative and scalable approaches. Lead engagement and change management for new data capabilities, ensuring smooth transitions into operational use. Apply insurance domain expertise to ensure solutions comply with regulatory frameworks and risk management standards. Collaborate with data engineers, architects, and product managers to deliver coordinated, high-quality data outcomes. Key Requirements of the Data Delivery Lead: Proven experience managing the end-to-end delivery of multiple complex data programmes. Strong background in insurance or regulated financial services. Experience setting up or delivering enterprise data platforms. Hands-on knowledge of cloud platforms such as Azure and Databricks. Experience with analytics and BI tools such as Power BI. Familiarity with data management principles and tools such as Microsoft Purview or Ataccama. Excellent stakeholder management and communication skills at senior levels. Strong understanding of Agile delivery methodologies and programme governance. Apply now to speak with VIQU IT in confidence, or contact Katie Dark via the VIQU IT website. Do you know someone exceptional? We ll thank you with up to £1,000 if your referral is successful (terms apply). For more opportunities, follow us on IT Recruitment. Data Delivery Lead London Hybrid Up to £100,000 + Bonus