18 of 18 Data Lake Jobs in the Thames Valley

Data Services Manager, Must live within 2 hours of London or Berkshire and be able to come in for ad-hoc meetings when required. Primarily home based though. Role 90% management and 10% technical and you will manage a team of 6. Salary £ 80000 - 85000 + good benefits. Financial service background mandatory. Expanding financial services client are looking … for a Data Services Manager to join their team. The role will suit a candidate who has been a manager for a couple of years and is looking to further develop their management career. Guiding a team of 6 you will be responsible for supporting the day to day operations of the data function, with a … mentoring, coaching, team development etc) Very strong technical skills that will include - SQL, SSIS, SSRS, SAS, Power BI, Power Platform, Azure Data Factory, Azure Data Lake, Databricks A good understanding of dimensional modelling techniques, including Kimball's Business Development Lifecycle Ability to design hybrid data solutions across on-prem and cloud data More ❯

Are you passionate about Data and Analytics (D&A) and excited about how it can completely transform the way an enterprise works? Do you have the strategic vision, technical expertise, and leadership skills to drive data-driven solutions? Do you want to work in a dynamic, fast-growing category? If so, you might be the ideal … candidate for the role in the Data and Analytics function for Global Pet Nutrition (PN) at Mars. Pet Nutrition (PN) is the most vibrant category in the FMCG sector. As we work to transform this exciting category, a new program, Digital First, has been mobilized by the Mars Pet Nutrition (PN) leadership team. Digital First places pet parents … demonstrate significant thought leadership, quality decision making, deep technical know-how, and an ability to navigate complex business challenges while building and leading a team of world class data and analytics leaders. With Digital First, PN is moving to a Product based model to create business facing digital capabilities. Develop and maintain robust data pipelines and More ❯

Role 🧠 A fast-growing UK tech group is looking for a hands-on AI Infrastructure Engineer to design and build the systems connecting core platforms (CRM, data lake, business tools) into a unified, AI-ready architecture. This is a greenfield build role — you’ll wire together SaaS tools, automate data flows, and shape the internal … days onsite, hands-on role, fast-paced environment What You’ll Do 🔧 Design and implement end-to-end data pipelines linking core platforms (CRM → data lake → AI systems) Architect schemas and transformation layers optimized for analytics, automation, and AI workflows (RAG/internal copilots) Build Python and API integrations , using low-code/no-code … streamline operations and M&A integration processes Monitor, ensure reliability, and scale integrations and pipelines Document and modularize infrastructure for future AI engineers ✅ Must-Haves: Python & SQL experience Data engineering skills : pipeline design, data modeling, schema development Experience with API integrations, webhooks , and low/no-code automation tools (Zapier, Make, Matillion) Comfortable in AWS or More ❯

Lead Data Engineer (Azure Stack) £95k + 10% bonus Hybrid – 1 day a week Central London I’m helping a growing fintech find their next Lead Data Engineer, they are looking for someone who loves building modern data platforms in Azure and wants to make a genuine impact. This role offers the best of … help drive a modern, data-driven culture all within a collaborative environment that values innovation and ownership. Tech you’ll be working with: Azure Data Lake Azure Synapse Databricks Data Factory Python, SQL, PySpark Terraform, GitHub Actions, CI/CD pipelines You’ll thrive here if you: Have strong experience building and leading … Azure-based data platforms Enjoy mentoring and guiding other engineers Love designing scalable, automated data pipelines Bring a hands-on approach and enjoy problem-solving Want to shape data strategy in a growing fintech If you’re an experienced Azure Data Engineer who enjoys leading without losing your hands-on edge, then More ❯

Senior Data Engineer (GCP BigQuery Python SQL) London/WFH to £85k Are you a tech savvy Data Engineer with Google Cloud expertise combined with client facing skills? You could be joining a global technology consultancy with a range of banking, financial services and insurance clients in a senior, hands-on Data Engineer role. … As a Senior Data Engineer you will design and build end-to-end real-time data pipelines using GCP services such as BigQuery, Dataflow and Dataproc, collaborating closely with clients to define business requirements, architect fit-for-purpose data solutions and support the migration of legacy on-premise systems to cloud-native architectures. You … ll collaborate directly with clients to analyse requirements, define solutions and deliver production grade systems, leading the development of robust, well tested and fault tolerant data engineering solutions. Location/WFH: There's a hybrid work from home model with two days a week in the London, City office (or at client site in London). About you More ❯

Designing, developing, and maintaining high-performance, scalable, and secure backend services and APIs using technologies such as Python and NodeJS. Collaborating with science teams, full stack engineers, and data engineers to understand data requirements and integrate user needs into backend services. Building and maintaining RESTful APIs to surface data in the platform, ensuring it … is findable and accessible in line with FAIR principles. Developing APIs that support future interoperability and federation for pathogen diagnostics, epidemiology monitoring, and research. Working with data engineers to build pipelines and processes that store and transform platform data for easy consumption. Implementing and managing data storage solutions including data lakes, data … as object storage, Oracle Autonomous Database, and PostgreSQL. Supporting innovation efforts by exploring new technologies such as vector databases to enable search and AI use cases. Using big data technologies like Kafka, Iceberg, and Parquet, along with managed databases including PostgreSQL and Oracle vector databases. Operating, monitoring, and maintaining Oracle Cloud infrastructure to ensure backend services are highly More ❯

/Engineer Location: 3 Days p/w Central London Rate: £450 Outside IR35 Duration: 6 Months + Extensions This role is responsible for migrating and developing modern data and analytics solutions using Microsoft Fabric and Azure technologies. The position supports enterprise-wide BI initiatives, delivering data models, pipelines, dashboards and reporting assets that enable data-driven decision-making. Key Responsibilities Lead and implement data migration into Microsoft Fabric for analytics and reporting use cases Design and build data models from multiple sources to generate actionable insights Maintain and optimise data warehouse platforms; identify and resolve issues Develop data pipelines using Fabric Pipelines, Azure Data … Lakehouse and Warehouse environments Implement CI/CD processes using Azure DevOps for secure, reliable deployment Technical Skills: Strong expertise in: Power BI and paginated reporting SQL and data architecture Dimensional modelling (star schema, snowflake, denormalised structures, SCD handling) DAX, Visual Studio and data transformation logic Azure Fabric, Azure Data Factory, Synapse, Data More ❯

get the chance to work with likeminded people on an innovative project. You’ll join a team of 4 to contribute to the build of a greenfield market data platform that will enhance how this systematic fund will trade and analyse global markets. You'll integrate various data sources, including financial data, alternative data, and proprietary feeds. Real-time data processing and analytics will be a key part of your work, enabling to support high-frequency trading and quick decision-making. Ideally, you’ll have worked with market data platforms using Python or C#. DevOps technologies such as; OIDC/Entra, Nomad, Trino, Terraform are also a strong … and-coming projects such as: Building a new API for the market data platform. Writing a data dictionary for the platform. Adopting S3 for a datalake solution. If you're developer with a passion for building and supporting market data platforms, apply or reach out via email: megan@saragossa.io No up-to-date CV More ❯

Are you an experienced Data Analyst looking for your next opportunity in the insurance sector? **Insurance industry experience is essential** In this role, you’ll be involved in onboarding new insurance programs, enhancing data integration, and delivering impactful insights through advanced reporting tools. This is a fantastic opportunity to work in a high-performing, collaborative team … environment with the flexibility of a hybrid working model in Central London. Key Responsibilities: Design and implement ETL pipelines for data lakes, data warehouses, ODS, and data marts Collaborate with business and technical teams to onboard new insurance programs Cleanse, profile, and validate large data sets to ensure quality and consistency Develop … and maintain advanced reporting tools to support business insights Contribute to the growth and optimisation of the enterprise data infrastructure Required Experience: Insurance industry experience is essential 5+ years of hands-on ETL experience across data integration architectures Strong expertise in SQL, Azure Data Factory, JSON, XML, and Dataflows Proven experience with data More ❯

CD pipelines (Jenkins), version control (GitHub/GitLab/BitBucket), backend/frontend frameworks (Spring Boot, Angular, React), cloud and data platforms (Azure Databricks, Data Lake), monitoring, logging, and test automation tools to deliver high-quality, scalable, and secure software solutions. This is an excellent opportunity for someone to lead and shape the engineering and More ❯

Product Manager – Data & AI Innovation (Air Platform) Location: London (Hybrid) Salary: £100-120,000 + bonus Type: Full-time, Permanent About Our Client Our client is a global financial technology leader driving innovation across data, automation, and AI. Their solutions power some of the world’s largest financial institutions, enabling them to transform operational efficiency, accuracy … and performance. They are now seeking a strategic Product Manager with deep expertise in data-driven product development and AI integration to lead innovation across their flagship Air Platform — a next-generation solution focused on intelligent automation, orchestration, and data optimisation. This is an opportunity to sit at the heart of AI transformation — defining strategy, shaping … product direction, and delivering next-level user experiences powered by AI agents, LLMs, and emerging technologies. The Opportunity As Product Manager – Data & AI Innovation, you will drive the roadmap for advanced data orchestration and AI-enabled features. You’ll collaborate with data scientists, engineers, and go-to-market teams to ensure each innovation is More ❯

point-to-site and site-to-site for high secure VPN connectivity from end user’s device and Sizewell C various offices and sites. Configuration of Data Lake storage, ensuring security hardening. Compliance of backup and restoration. Integration of IAAS, PAAS and SAAS application with Microsoft Entra ID (AAD) for secure access through SAML SSO. Maintain the More ❯

onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data … advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into … production-ready systems . Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment. Optimise model performance, scalability, and reliability using MLOps best practices. Work with large-scale structured and unstructured datasets for model training and validation. Implement model monitoring, versioning, and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering More ❯

General Ledger system to Finance functions across their EMEA entities. The main focus will be in Finance Data & Processing Architecture including the roll out of Azure Databricks Lake House and Oracle Cloud platforms supplemented with process orchestration, workflow and microservices. This is a newly created highly visible role, on a greenfield programme. A brilliant opportunity! The following … skills/experience is required: Strong Delivery Manager/Project Manager background. Previously implemented a General Ledger system Good working knowledge of finance processes and associated data sets/taxonomies. Understanding of Data lakes, Data sourcing, accounting rules engines, reference data, is desirable. Understanding of accounting is desirable. Excellent communication skills. Salary More ❯

strategic IT solutions to Finance functions across their EMEA entities. The main focus will be in Finance Data & Processing Architecture including the roll out of Azure Databricks Lake House and Oracle Cloud platforms supplemented with process orchestration, workflow and microservices. This is a newly created highly visible role. A brilliant opportunity! The following skills/experience is … required: Strong Delivery Manager/Project Manager background. Good working knowledge of finance processes and associated data sets/taxonomies. Detailed understanding of Oracle EBS and Oracle Cloud. Good understanding of Data lakes, Data sourcing, accounting rules engines, reference data. Previously worked in an Investment or Corporate Bank. Understanding of accounting is desirable. Excellent More ❯

make equipment, software, and systems that help to plan, deploy, certify, monitor, and optimize all kinds of networks - like those for mobile phones, service providers, large businesses, and data centers. And we are also at the forefront of optical security - we bend light to develop and deliver optical solutions that provide security to the world's currencies and … monitor AI workloads in containerized cloud environments (Docker, Kubernetes, AWS/GCP/Azure) Participate in code reviews, architecture discussions, and mentor junior engineers Collaborate cross-functionally with data science, product, and operations teams Champion responsible AI practices and safety mechanisms in all development work Pre-Requisites/Skills/Experience Requirements: Bachelor's degree in Computer Science … Anthropic) or ML frameworks (PyTorch, TensorFlow) Solid understanding of CI/CD, Git, testing, and agile methodologies Hands-on experience with Linux, Docker, and containerized deployments Familiarity with data engineering concepts (SQL, ETL, data lakes) Experience with orchestration frameworks like LangChain, LangGraph, or Semantic Kernel Cloud deployment experience (AWS, GCP, Azure) Work on high-impact AI More ❯

workflows. Ensure reliability, scalability, observability, and security of production systems and ML infrastructure. Automate deployment, orchestration, and environment management using modern DevOps tooling. Collaborate closely with software engineers, data scientists, and product teams to bring ML-powered features to production. Proactively detect, troubleshoot, and resolve infrastructure and model performance issues. Stay up to date with industry best practices … tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm). Familiarity with data engineering concepts such as ETL pipelines, data lakes, and large-scale batch/stream processing. Ability to design scalable, secure, and observable systems in fast-moving environments. More ❯

custom fine-tuning approaches. Architect scalable, secure, and cost-effective GenAI systems leveraging cloud platforms (Azure, AWS, GCP). Define integration patterns with existing enterprise systems (ERP, CRM, data lakes, APIs). Technical Leadership Collaborate with data scientists, ML engineers, and software developers to implement GenAI models. Evaluate and select appropriate GenAI frameworks, libraries, and model … deployments, ensuring alignment with business goals and technical feasibility. Governance & Risk Management Establish best practices for prompt engineering, model safety, bias mitigation, and responsible AI. Ensure compliance with data privacy regulations (GDPR, HIPAA, etc.) and internal governance policies. Define monitoring and observability strategies for GenAI systems in production. Stakeholder Engagement Translate business requirements into technical specifications and solution More ❯