20 jobs found

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.

Senior Data Engineer Location : Gloucester - 2 days / 3 days WFH per week Salary : Up to £85,000 Benefits : Excellent benefits package, career development and the opportunity to shape a growing data platform. Our client, a leading engineering and manufacturing organisation, is looking to appoint a Senior Data Engineer to play a key role in the evolution of its enterprise data platform. This is an opportunity to influence data strategy, own critical data engineering initiatives, and work with modern cloud technologies to deliver trusted, high-quality data that supports business decision-making across a global organisation. Working within a collaborative data team, you'll combine technical expertise with strong stakeholder engagement to design scalable data solutions, improve governance, and enable data-driven decisions throughout the business. What you'll do Design, build and maintain enterprise data architecture and scalable data pipelines. Administer and optimise a Snowflake data warehouse environment. Develop robust ELT pipelines using modern data engineering best practices. Build dimensional data models and reporting datasets to support business intelligence. Create insightful dashboards and reports using Power BI. Define and promote data governance standards and data quality initiatives. Analyse complex datasets and translate business requirements into technical solutions. Contribute to the organisation's data strategy by evaluating emerging technologies and AI capabilities. Support and educate business users on data best practice. Collaborate with technical and business stakeholders across multiple locations to deliver strategic data initiatives. You'll work closely with business leaders, technology teams and global stakeholders to ensure data is accessible, reliable and delivers measurable business value. What we're looking for We're looking for an experienced Senior Data Engineer with a passion for building modern cloud-based data platforms. Essential experience includes: Strong commercial SQL development experience. Proven experience administering enterprise data warehouses. Experience with Snowflake. Experience developing data pipelines and ELT processes. Strong knowledge of data warehousing principles and dimensional modelling (Kimball). Experience using dbt. Power BI report and dashboard development. Strong stakeholder management and communication skills. Excellent analytical and problem-solving ability. Experience documenting data solutions and technical specifications. Understanding of data governance, GDPR and data security principles. Desirable experience: Fivetran or similar integration tools. Microsoft Fabric. GitHub and modern SDLC practices. ERP integrations such as Dynamics 365 or Infor. Exposure to AI technologies including Snowflake Cortex or OpenAI tooling. Experience within engineering, manufacturing or aerospace environments. The ideal candidate will be a proactive self-starter who enjoys solving complex problems, influencing stakeholders and driving continuous improvement in a collaborative environment. Why join? Play a key role in shaping a growing enterprise data platform. Work with modern cloud technologies including Snowflake, dbt and Power BI. Influence data strategy and architecture across a global business. Join a collaborative team focused on innovation, data quality and continuous improvement. Opportunity to work on high-impact projects with genuine business visibility.

Contract Opportunity: Senior Data Engineer / DataOps Engineer Location: Central London, UK Contract Duration: 6 Months Role Type: Contract About the Role Are you an experienced Data Engineer with a passion for DataOps, automation, and platform engineering? We are looking for a Senior Data Engineer to help build, automate, and support cutting-edge enterprise data platforms across Azure, SQL Server, and Snowflake ecosystems. In this pivotal 6-month contract, you will drive data onboarding, migration, and automation initiatives. Your work will directly contribute to operational excellence, scalable data solutions, and the empowerment of self-service capabilities across the business. What You Will Be Doing Pipeline Engineering: Design and develop robust data ingestion, transformation, and migration solutions utilizing Azure Data Factory (ADF). ETL/ELT Development: Build and maintain seamless pipelines across SQL Server, Azure Data Lake Storage (ADLS), and Snowflake ecosystems. Automation & Frameworks: Build reusable frameworks for data onboarding, schema deployment, and validation. Automate operational processes using SQL, Python, or PowerShell. Database Administration: Administer and manage SQL Server environments hosted on Azure VMs, handling security, backup/recovery, performance tuning, and access management. Platform Modernization: Support database migrations, system upgrades, and platform modernization initiatives. Governance & Security: Implement data quality controls, governance standards, audit logging, and security best practices. Collaboration: Work closely with business and technology teams to deliver highly scalable, reliable data solutions and improve overall DataOps efficiency. What We Are Looking For (Essential Skills) To be successful in this role, you must have strong hands-on experience in the following areas: Core Technologies: Azure Data Factory (ADF), Azure Data Lake (ADLS), Azure SQL, and core ETL concepts. SQL Server Mastery: Advanced SQL Server development and administration skills, including hands-on experience managing SQL Server on Azure Virtual Machines. Database Expertise: Proven track record in database migration, performance tuning, backup/recovery, and security implementation. Scripting & Automation: Strong scripting abilities in SQL, Python, and/or PowerShell. Data Formats: Experience working with structured and semi-structured data formats (CSV, JSON, XML, Parquet, MDF, BAK). Problem Solving: Exceptional troubleshooting, automation, and analytical capabilities. How to Apply Please include your most recent CV and a brief summary of your experience with Azure and SQL Server environments and share at yogeshwari. com Randstad Technologies is acting as an Employment Business in relation to this vacancy.

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).

Data Architect - Azure, Databricks & Snowflake Remote First (UK) | Monthly London Meetups | £100,000-£110,000 A fast-growing international fintech organisation is seeking an experienced Data Architect to lead the design and evolution of a modern cloud-native data platform. This is a senior-level opportunity to shape enterprise-wide data strategy and architecture across a highly scalable Azure and Snowflake ecosystem, supporting advanced analytics, AI/ML, business intelligence, and data-driven product innovation. You will take ownership of the organisation's modern data architecture roadmap, designing secure, scalable, and high-performing platforms that enable analytics and engineering teams to deliver at pace. This role combines strategic architecture leadership with hands-on technical expertise across Azure, Databricks, and Snowflake technologies. Key Responsibilities Define and maintain the enterprise data architecture strategy and roadmap Design scalable, secure, cloud-native data platforms using Azure and Snowflake Architect modern lakehouse and enterprise analytics solutions Lead the design of conceptual, logical, and physical data models Support batch, streaming, and Real Time data processing capabilities Drive best practice across governance, metadata, lineage, and data quality Optimise platform performance, scalability, reliability, and cost Collaborate closely with engineering, analytics, architecture, and data science teams Provide technical leadership and architectural guidance across delivery teams Promote automation, CI/CD, and Infrastructure as Code practices Evaluate emerging technologies and contribute to long-term platform innovation Required Experience Strong experience designing enterprise data platforms within Microsoft Azure environments Deep expertise with Azure Databricks, Spark (PySpark/Scala), Delta Lake, and Lakehouse architecture Strong hands-on experience with Snowflake architecture and optimisation Experience with Azure Data Factory, ADLS Gen2, Synapse Analytics, and/or Microsoft Fabric Excellent understanding of modern data modelling approaches including Kimball, Inmon, and Data Vault Strong SQL, Python, Spark, and Snowflake SQL skills Experience with CI/CD and Infrastructure as Code tools such as Terraform, ARM, or Bicep Knowledge of governance and cataloguing tools such as Microsoft Purview Proven ability to operate in senior technical leadership or architecture roles Desirable certifications include: Microsoft Certified: Azure Data Engineer Associate Azure Solutions Architect Expert Databricks Certified Associate/Professional SnowPro Core Certification If you are passionate about modern data architecture and want to play a key role in building scalable cloud data platforms within a technology-driven organisation, we'd love to hear from you. Salary: £100,000-£110,000 Remote/London

As a Senior Data Engineer in Manchester within the leisure, travel and tourism industry, you'll play a key role in managing and optimising data pipelines to support analytics and decision-making. This is a hands-on role where your expertise will help ensure the business runs smoothly by maintaining high data quality and performance. Client Details Based in Manchester, we're the longest-standing travel franchise in the UK. Through our innovative platform and trusted model, we empower people to set up, grow, and sustain successful travel businesses, with a strong focus on both premium leisure and corporate travel. For over 30 years, we've empowered 2,200+ independent travel agents worldwide, helping them build successful businesses while providing deeply personal, human connections with their customers. Supported by a talented team of over 400 people in our Support Offices, we create unique travel experiences that keep customers coming back. Named the Best Place to Work in Travel (2022) and ranked in the Sunday Times Best Places to Work (2023, 2024 & 2025), we're expanding rapidly and looking for exceptional individuals to join our Head Office team. Description The successful Senior Data Engineer will be responsible for but not limited to: Developing and maintaining scalable data pipelines and systems to support analytics needs. Collaborate with analytics teams to ensure data accessibility and usability. Optimise data workflows and troubleshoot any data-related issues. Ensure data quality and implement best practices for data governance. Work with various data sources and integrate them into a centralised platform. Provide technical expertise and mentoring to junior team members. Document processes and maintain up-to-date records of data architecture. Support the organisation in leveraging data for strategic decisions. Profile The successful Senior Data Engineer will be able to demonstrate: Strong technical skills in data engineering tools and frameworks. Experience working with large-scale data systems and pipelines. Knowledge of data governance and best practices in data quality. Ability to collaborate effectively with cross-functional teams. A proactive and solutions-focused approach to problem-solving. Excellent communication and documentation skills. Technical Skills: SQL Snowflake Python Desirable DBT Airbyte Job Offer Located by Trafford Park we are easily commutable from Manchester, Liverpool, Warrington and other surrounding areas. Salary ranging from 58000 - 63,000, dependent on the level of experience. Permanent position based in Manchester. Hybrid working, circa 2 days in the office. Additional benefits to be confirmed. If you're interested in this role, apply now. People are at the heart of Michael Page. We are committed to creating an inclusive environment. As an inclusive recruiter we welcome applications from people of all backgrounds, identities and experiences. If you require any adjustments or accommodations during the recruitment process, we'll work with you to ensure you can perform at your best.

Technical Product Manager - Asset Data Warwick (Hybrid - 1 day per week on-site) Initial 6-Month Contract We're recruiting for an experienced Technical Product Manager to join the Asset Data Domain within the Chief Data Office (CDO), part of the IT & Digital function of a major UK critical infrastructure organisation. This is an opportunity to shape enterprise data and analytics products that support engineering, asset management and strategic decision-making across one of the UK's largest asset portfolios. What You'll Be Doing You'll own the vision, roadmap and delivery of enterprise data products, working closely with business leaders, engineering teams and technology specialists to deliver solutions that improve asset performance and decision-making. Key programmes include: Developing data and analytics products that support asset risk management with the Group Engineering function. Shaping how Operational Technology (OT) data is utilised to unlock greater operational insight and business value. Defining product roadmaps, investment priorities, business cases and delivery plans. Working with Technical Leads and Programme Managers to shape product strategy, resource requirements and successful delivery. Leading stakeholder engagement across engineering, asset management, data and IT. About You You'll be an experienced Technical Product Manager (or Data Product Manager/Product Owner) with experience delivering enterprise digital or data products within complex organisations. You'll have: Strong Technical Product Management experience. Knowledge of asset management and the asset lifecycle within an asset-intensive industry. Experience developing product roadmaps, managing backlogs and translating business requirements into product outcomes. Excellent stakeholder management and communication skills, with the ability to influence senior business leaders and technical teams. A collaborative approach and the confidence to operate across business and technology functions. Technical Knowledge This isn't a hands-on technical role, but you'll be comfortable engaging with architects and engineering teams. Experience or familiarity with the following is highly desirable: Microsoft Azure Snowflake Cloud and hyperscale platforms Data products, analytics and AI-enabled solutions Operational Technology (OT) data Enterprise data architecture and governance Why Apply? Strategic product ownership within the Chief Data Office. Opportunity to shape enterprise data and analytics products supporting critical infrastructure. Work across high-profile programmes focused on asset risk, engineering data and digital transformation. Predominantly remote working with one day per week in Warwick. Initial six-month contract with the opportunity to make a significant impact on enterprise data capabilities. TO APPLY - PLEASE APPLY WITH AN UP-TO-DATE CV Candidates will ideally show evidence of the above in their CV in order 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 accordingly. 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. 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.

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.

Senior Data Engineer (Snowflake) Permanent Hybrid (London - 2 days a week in the office) Salary 70,000 to 90,000 + bonus We're supporting a leading UK Wealth Management organisation as they continue a significant transformation of their Data & AI capability. As part of this journey, they're looking to hire two Senior Data Engineers to join a high-profile Portfolio Suitability programme, one of the most strategically important initiatives within the business over the next two years. This is a highly visible, regulatory-driven programme that will influence how the organisation serves clients, demonstrates suitability, and responds to increasing regulatory expectations. You'll have the opportunity to work directly with senior leadership, investment professionals, and key stakeholders across the business. What You'll Be Doing Designing and developing scalable data solutions within Snowflake Building and maintaining data pipelines and transformation frameworks using dbt Working with complex market, investment and risk datasets Designing dimensional data models and Star Schema structures Supporting portfolio suitability and regulatory reporting initiatives Implementing data quality, validation and governance controls Working closely with investment, risk and business stakeholders Contributing to a rapidly evolving Data & AI capability Leveraging modern engineering practices and AI-assisted development tools What We're Looking For Essential Experience Strong commercial experience with Snowflake Excellent understanding of Star Schema / dimensional modelling Experience with dbt Strong SQL and data engineering capability Experience working with time-series market data Exposure to market data platforms and financial data ingestion Financial Services experience Experience working within risk-related environments Strong stakeholder engagement and communication skills Highly Desirable Portfolio suitability experience Wealth Management or Asset Management experience Investment Management data experience Regulatory reporting exposure Snowflake Cortex AI and/or Claude Code Medallion Architecture experience Modern data platform delivery experience If you'd like to learn more, please contact Jacob Ferdinand at If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

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.

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)

We're recruiting a Senior Data Engineer to join a collaborative data platform team developing business-critical data products and services. This is an excellent opportunity for an experienced data professional who enjoys solving complex data challenges, building scalable pipelines and working with modern cloud technologies. The successful candidate will play a key role in the ongoing development, optimisation and support of an established data platform while also mentoring more junior engineers within the team. As a Senior Data Engineer, you'll be responsible for designing, developing and maintaining robust data solutions that support a wide range of business and customer-facing applications. Working closely with engineers, analysts and stakeholders, you'll help drive best practice across data engineering, data quality and platform performance whilst contributing to the evolution of the organisation's data capabilities. Key Responsibilities: Design, develop and maintain ETL and data integration solutions Build and optimise scalable data pipelines using SQL and Python Support and enhance a cloud-based data platform Work with stakeholders to understand data requirements and translate them into effective technical solutions Contribute to data modelling and data architecture initiatives Troubleshoot and resolve complex data-related issues Contribute to engineering best practices, code reviews and continuous improvement activities Support infrastructure and platform automation initiatives Essential Skills & Experience Strong SQL skills, including complex data manipulation and performance optimisation Proven experience designing, developing and supporting ETL/data pipeline solutions Strong Python development experience Commercial experience working with Snowflake Strong understanding of data warehousing and data modelling principles Experience working within Agile delivery environments Excellent communication and stakeholder management skills What's on Offer? 12-month contract with potential for extension Opportunity to work on a modern cloud data platform Collaborative and supportive engineering culture Exposure to modern data engineering and automation practices Hybrid working model with two office days per week Opportunity to influence technical direction and mentor other engineers Please note: Applications are being reviewed as they are received. The role follows a hybrid working model with two office-based days per week (Tuesday and Thursday). Due to planned hiring team availability, interviews are expected to commence from 15th August, with shortlisted candidates kept informed throughout the process.

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!

Senior Analytics Engineer (Snowflake/ThoughtSpot) Remote (UK) | 6 Month contract - £400 - £500 Per day Outside IR35 We're looking for an Senior Analytics Engineer to join an exciting data transformation programme, helping to build a modern analytics platform from the ground up. This role sits between a Data Engineer and a BI/Analytics Developer, focusing on designing scalable data models that power self-service analytics rather than building dashboards. You'll work closely with Data Engineers and business stakeholders to shape a new reporting platform built on Snowflake and ThoughtSpot. What you'll need: Strong commercial experience with ThoughtSpot (essential) Hands-on experience with Snowflake (essential) Experience with ETL tooling , ideally Matillion Ability to design robust, scalable data models for analytics and reporting Strong stakeholder engagement skills and a passion for enabling data-driven decision making If you are looking for a new opportunity then please apply today for immediate consideration!

Senior AWS Data Engineer - London - 125,000 Please note - this role will require you to work from the London based office. You must have the unrestricted right to work in the UK to be eligible for this role. This organisation is not able to offer sponsorship. An exciting opportunity to join a greenfield initiative focused on transforming how market data is accessed and utilised. As a Senior AWS Data Engineer, you'll play a key role in designing and building a cutting-edge data platform using technologies like Databricks, Snowflake, and AWS Glue. Key Responsibilities: Build and maintain scalable data pipelines, warehouses, and lakes. Design secure, high-performance data architectures. Develop processing and analysis algorithms for complex data sets. Collaborate with data scientists to deploy machine learning models. Contribute to strategy, planning, and continuous improvement. Required Experience: Hands-on experience with AWS data tools: Glue, PySpark, Athena, Iceberg, Lake Formation. Strong Python and SQL skills for data processing and analysis. Deep understanding of data governance, quality, and security. Knowledge of market data and its business applications. Desirable Experience: Experience with Databricks and Snowflake. Familiarity with machine learning and data science concepts. Strategic thinking and ability to influence cross-functional teams. This role offers the chance to work across multiple business areas, solve complex data challenges, and contribute to long-term strategic goals. You'll be empowered to lead, collaborate, and innovate in a dynamic environment. To apply for this role please submit your CV or contact David Airey on (phone number removed) or at (url removed). Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.

Senior Software Engineer / Developer (Data) London / WFH to £115k Global-leading FinTech is seeking a Senior Software Engineer to take ownership of a new team responsible for data focussed strategic enhancements on their core platform. The organisation is a pioneer in the field of cross-asset securities and derivatives post-trade processing technology and have created ground-breaking, adaptable software that produces secure and scalable solutions for peak operational efficiency and optimum business performance for their clients. This is a great opportunity to accelerate your career alongside established business and technology leaders and deepen your finance experience. As a Senior Software Engineer, you'll work on strategic initiatives to develop integration and data migration strategies and tools to allow highly automated migration or integration between the PTP (Post Trade Processing) platform and legacy internal and external systems. You'll be working on Greenfield systems, using a range of technology, you will be granted a great deal of autonomy across the full development lifecycle, influencing key technical decisions and will have the opportunity to grow the team and move into a leadership role if desired. Location / WFH: You'll join colleagues in the London office three days a week with flexibility to work from home the other two days. About you: You're a data centric, Senior Software Engineer with a strong knowledge of modern software engineering best practices You have strong development experience with C#, C++ or Python You have advanced SQL database knowledge (they use Oracle), experience with data transformation technologies such as Databricks or Snowflake and data streaming technologies such as Kafka You have a good understanding of financial markets and the trade lifecycle You're keen to take ownership and enjoy working proactively with minimal supervision You have excellent collaboration and stakeholder management skills You're degree educated in a STEM discipline What's in it for you: As a Senior Software Engineer / Developer (Data) you will receive a competitive package: Salary to £115k Pension (to 9% contribution) Healthcare Volunteer / charity days Hybrid working Career development and training Apply now to find out more about this Senior Software Engineer / Developer (Data) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

Tableau Developer required by a large, established UK organisation to join its Data & Insight team on a six-month fixed-term contract. This role will be instrumental in supporting a major data platform upgrade and helping to modernise analytics and AI capabilities. You'll take the lead on rebuilding and improving business-critical dashboards, enabling commercial teams to make confident, data-driven decisions. Our client offers a hybrid working environment with 2-3 days a week onsite with flexibility. You'll report into a senior manager within the analytics team and work at pace to deliver high-quality, user-friendly dashboards. You'll also have the opportunity to support smaller projects across the wider business. Key Responsibilities Recreate and enhance business-critical dashboards in Tableau (or similar BI tools), ensuring accuracy and usability. Partner with stakeholders to understand requirements and translate them into clear, actionable dashboards. Collaborate with data engineers to ensure data pipelines and models meet reporting needs. Work within a multi-disciplinary project team to help deliver the wider transformation programme. Support the management and optimisation of the organisation's BI platform. Provide ad-hoc support on other analytics initiatives within the team. What We're Looking For Proven BI expertise with a track record of designing high-quality, insightful dashboards (Tableau experience preferred). Strong SQL skills for querying, validating and shaping data. Experience working end-to-end on analytics projects: from requirements gathering through to design, build, testing and support. Excellent communication skills, able to work effectively with both technical and non-technical colleagues. Highly organised, able to prioritise tasks and meet tight deadlines. Comfortable working autonomously while contributing as part of a multi-disciplinary team. Desirable: Awareness of UX principles and best practices in dashboard design. Experience with cloud data platforms (e.g. Databricks, Snowflake). A degree in a numerate discipline. What's on Offer A 10% annual bonus 25 days' paid holiday plus the option to buy additional days, with extra days awarded for long service. A generous pension plan with enhanced employer contributions. Health and wellbeing benefits including a healthcare cash plan, employee assistance programme, wellbeing platform and a gym benefit. Enhanced family leave provisions. Additional perks including an employee share save scheme, life assurance, discounts portal and more.

City & Capital are currently working with one of the UK's most dynamic and fast-growing specialist property finance lenders who are renowned for their innovation and tailored products to suit the needs of a broad range of professional borrowers, such as property developers and investors. Our client currently offers a range of property-backed loans to cover bridging finance, development exits, commercial mortgages and buy to let. Due to success to date, the lender has now doubled the size of their UK loan book and team 6 times in the last 6 years, with plans to achieve this for a 7th time across the coming period. Due to these increasing levels of high activity, they are generating more and more customer and performance data than ever before and are embarking on a key project to best manage & utilise this. An agile and robust data management and utilisation plan will be key to the attainment of this. Our client is therefore seeking an individual who will play an integral role in building & maintaining the businesses core data infrastructure & to deliver on the demands as outlined below. You will work closely with the lenders Chief Mortgage Officer & Senior Data Lead within the role. This is also a role that comes with plenty of progression potential for those that are successful in the role. About the Role As a Data Engineer, you will play a key role in building and maintaining the business's core data infrastructure. Working closely with the Chief Mortgage Officer, Senior Data Lead and Market Analysts you will enable scalable reporting, clean data flows, and analytics-ready datasets that underpin everything from product development and underwriting to compliance and performance tracking. You'll take ownership of automated data pipelines, cloud infrastructure within Microsoft Fabric, and integrations with platforms like Salesforce and core lending systems. Your work will be vital to ensuring data is accurate, structured, and available powering both real-time business intelligence and future advanced analytics. Key Responsibilities Design and develop automated ETL/ELT pipelines using SQL and Python Integrate internal/external data sources via APIs and platform connectors Model and structure data for scalable analytics (e.g., star/snowflake schemas) Administer Microsoft Fabric Lakehouse and Azure services Optimise performance across queries, datasets, and pipelines Apply data validation, cleansing, and standardisation rules Document pipeline logic and contribute to business-wide metadata catalogues Collaborate with BI, Change, and Product teams to align data outputs to needs Support groundwork for future data science and machine learning initiatives The successful applicant will be proficient in SQL and Python, with a proven track record of building and maintaining ETL/ELT pipelines. Experience working with Microsoft Fabric, Azure Data Factory, and modern Lakehouse or data warehouse architecture is essential. You'll demonstrate a strong focus on data quality and governance and be adept at integrating third-party APIs and transforming raw data into analytics-ready assets. Prior experience in financial services or lending is preferred, and the ability to communicate data requirements clearly across business teams will be key to success in this role. You'll be a technically strong data professional with hands-on experience in pipeline development, cloud-based data infrastructure, and performance optimisation. You will be at your best when working collaboratively in fast-paced environments and when translating complex business needs into structured, reliable data systems. On?Offer Our client is ideally looking to pay between £50k - £705as a basic salary for the ideal individual, relevant to experience. Higher offers may also be considered for exceptional talent and potential. Salary will be complemented by a favourable bonus scheme too, that will significantly enhance annual earnings. Most notably, due to our clients continued growth & strong and proven promote from within policy, this is also a role that comes with plenty of progression potential, where excellent performance is delivered. In turn, this could see you propel both career standing & salary within, as you make a real impact on the role and business. The?role?will?be?based?in?our?clients?Mayfair?offices,?offering?a?collaborative?and?fast paced working environment. There is a reasonable amount of urgency to fill this position as you might expect, for the reasons outlined. We do not expect this role to be on the market for long! Therefore, if this role does sound like one that you are both qualified for and interested in then we look forward to your application as soon as possible. We do not expect this role to be on the market for long! We will aim to review your application as soon as possible and get back to you with an update following. We look forward to hearing from you. Kind Regards, The City and Capital Team