10 of 10 Remote 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯