Data Engineering Jobs

Prize Placements · Watford · £65,000 – £70,000 pa

Hands-on backend data engineering role owning ELT/ETL pipelines that ingest from REST APIs, databases and flat files into Snowflake. You'll build Python ingestion and automation scripts, configure Fivetran or Meltano/Singer connectors, optimise advanced SQL, and implement monitoring, alerting and data quality checks, with scope to shape a possible move toward Azure/Microsoft Fabric.

Fivetran · London

Partner with Commercial sales reps to uncover customer data replication needs and run organised proof-of-value processes that secure the technical win. Deliver technical presentations across AWS, GCP, Azure, Snowflake, BigQuery and Databricks, while advising on database replication and ETL tooling. Hybrid role with two days weekly in the Dublin office.

Integrity Recruitment Solutions · Birmingham

Lead BI Developer role focused on designing and building data platforms during a major business and IT transformation, with data enhancement as a central focus. The business is transitioning to Microsoft Fabric, working with SQL, Python/PySpark, Data Factory and AI tools such as Microsoft Copilot. The role is expected to grow, requiring managerial and leadership experience to build out additional team members.

SoCode · London · £60,000 – £80,000 pa

Hands-on role building and maintaining a scalable data platform for a wealth management business, developing pipelines in Python and SQL and transforming data from multiple sources. You'll work with PostgreSQL and Snowflake, build data models, and implement quality checks, validation and reconciliation processes, applying Medallion Architecture principles.

Intec Select · Thetford · £94,000 pa

Senior strategic role shaping data linkage, data architecture and digital technology initiatives across the UK health data ecosystem. Involves identifying emerging technologies and investment opportunities, assessing existing programmes, building partnerships with research, government and funding bodies, and providing technical leadership across complex multidisciplinary programmes.

SoCode · London · £700 – £900 pd

Hands-on data engineering role focused on building and optimising pipelines that consolidate client and market data from multiple sources, with ownership of data logic, transformations and validation. Involves data modelling, reconciliation, quality monitoring and Snowflake performance tuning, applying Medallion Architecture to a growing wealth management platform.

CBSbutler Holdings Limited trading as CBSbutler · London · £85,000 – £115,000 pa

Develops and maintains high-performance, data-driven applications using KDB+/q and Python, building and optimising data pipelines and time-series solutions. Works on query performance, data processing and system efficiency, troubleshooting issues and collaborating with technical teams. Financial services or capital markets background is preferred.

Investigo · Egham · £85,000 – £95,000 pa

Own and evolve a global Snowflake platform already live across multiple countries, combining hands-on engineering with platform strategy, standards and governance. Work with data teams in the UK, US and Europe on international rollouts, AWS and dbt adoption, and CI/CD practices, while managing third-party vendors and delivery partners.

Click Digital · Guildford · £66,000 pa

Lead data engineering for a large organisation, shaping an enterprise-level cloud data platform that supports reporting, advanced analytics and future AI. Design and maintain pipelines, data models and governance controls using SQL, Python, Azure and Databricks, while mentoring an Analytics Engineer and influencing data strategy with senior stakeholders.

Parkside · London · £100,000 – £150,000 pa

Lead the development of AI features in a legal tech SaaS platform, building ML models for document parsing, search, classification and summarisation. Integrate LLMs with guardrails, evaluation and monitoring, and optimise model serving on AWS. Work hands-on in Scrum squads alongside engineering, product and QA.

Click Digital · Manchester · £63,000 pa

Lead data engineering for a large organisation, shaping an enterprise cloud data platform that supports reporting, advanced analytics and future AI. You'll design pipelines and data models using SQL, Python, Azure and Databricks, set engineering standards, and manage an Analytics Engineer while influencing data strategy with senior stakeholders.

Michael Page · Leeds · £40,000 – £48,000 pa

Analyse large datasets to uncover trends and build predictive models and algorithms that support strategic decisions in a financial services setting. Work within a collaborative analytics team, presenting findings to non-technical stakeholders and helping maintain data pipelines and infrastructure.

Hays Technology · London · £100,000 – £110,000 pa

Hands-on role building the backend services, APIs and data integrations behind a new AI layer for an investment management platform. Involves LLM application work such as agent workflows, tool use and RAG, plus security controls, automated tests and AI evaluations, monitoring accuracy, latency and cost in production. Works alongside a Frontend Engineer and product colleagues, releasing iteratively.

Amtis Professional · Birmingham · £40,000 – £45,000 pa

Builds and develops a central data platform supporting reporting, analytics and emerging AI use cases. Covers the full data lifecycle: ingesting from internal and external sources and APIs, ETL/ELT transformation, data modelling and database design, plus Power BI dashboards. Works in a Microsoft Fabric/Azure stack with SQL, Python and Git in a collaborative team.

Socium Recruitment · Manchester · £90,000 – £100,000 pa

Owns the data engineering strategy, architecture and roadmap for an established online business, leading a team of ten through a migration from on-prem SQL to Azure. Sets engineering standards across data modelling, pipelines, governance and automated deployments, and makes the calls on tooling, budget and suppliers while reporting into the C-suite. Microsoft Fabric adoption and practical AI use are open questions the role holder will shape.