Data Engineering Jobs

Tenth Revolution Group · London · £80,000 – £110,000 pa

Design and build scalable cloud-based data platforms on AWS, creating robust ETL/ELT pipelines and data services to support enterprise clients and AI initiatives. Develop analytical datasets, dashboards, and trusted data products while establishing data governance, quality, and observability standards. Collaborate with Product, Engineering, and Data Science teams to shape long-term data architecture and influence strategic decisions in a high-growth environment.

Tenth Revolution Group · Birmingham · £90,000 – £110,000 pa

Hands-on senior role designing and building scalable data platforms, ETL/ELT pipelines and Data-as-a-Service capabilities that power analytics, machine learning and AI products for enterprise clients. Involves setting standards for data quality, governance and observability, plus shaping data strategy and growing into a leadership position.

Harnham - Data and Analytics Recruitment · London · £110,000 pa

Lead technical direction across a modern cloud data platform built on AWS, Snowflake and dbt, staying hands-on while unblocking engineers on complex issues. Combines mentoring a team of engineers with influencing senior stakeholders and shaping engineering standards in a federated data model.

Harnham - Data and Analytics Recruitment · London · £60,000 – £75,000 pa

Lead the design and delivery of greenfield data engineering projects from concept to production, building pipelines, transformations and orchestration workflows on modern cloud data platforms. The role offers genuine ownership, acting as technical point of contact for stakeholders and clients, within a fully remote team across the UK and Ireland.

eFinancialCareers · London

Hands-on technical lead designing and building ingestion, transformation and provisioning pipelines on a Snowflake-centric platform, applying medallion architecture and data contracts. Leads data engineers across London and India, sets engineering standards for ELT, orchestration, DataOps and observability, and drives migrations off legacy platforms while embedding AI-assisted tooling.

eFinancialCareers · London

Builds and supports an enterprise data platform primarily on MS SQL Server with .NET services, writing Python and SQL stored procedures, functions and scripts. Works on ETL development with SSIS and SSAS, dimensional data modelling, and dashboards in Streamlit, Power BI or Tableau, supporting Operations, Risk and Finance. Mix of maintaining existing systems and greenfield data projects, with AI tooling used daily.

ZENZO DIGITAL · Peterborough · £55,000 – £62,000 pa

You will maintain and optimise on-prem SQL Server and Oracle databases while leading the migration of workloads to a Snowflake cloud platform. The role blends DBA-style support, advanced SQL tuning, and building scalable ETL/ELT pipelines, acting as the go-to technical specialist across Data & Tech, operations and suppliers.

SoCode · London · £100,000 – £130,000 pa

Take technical ownership of a large-scale analytical data platform, leading architecture, performance and cost optimisation of multi-tenant ClickHouse/OLAP systems. Build automation, observability and capacity management, shape a secure Data-as-a-Service offering and the data foundations for agentic AI, while mentoring and line-managing a small team hands-on.

Pontoon · Chester

Hands-on engineering role building and maintaining scalable data platforms for compliance assurance in a regulated enterprise. Owns the end-to-end data lifecycle, from ingesting source systems through streaming, processing and storage to automated reconciliation and data-quality controls. Developer-led, with Python, PySpark, Kafka and NiFi at its core.

Humanoid · London

Build an internal data platform from the ground up, defining architecture for petabyte-scale robot telemetry pipelines, compute infrastructure and orchestration. Work spans backend services, data warehousing, BI dashboards and MLOps evaluation workflows, collaborating closely with machine learning teams on humanoid robot training data.

Adecco · London · £600 – £650 pd

Designs, builds and supports end-to-end ETL integrations from source systems into Oracle ERP, primarily General Ledger, using IBM DataStage and Azure Data Factory. Leads technical architecture for an on-prem to cloud migration and cloud consolidation, building large-scale batch and real-time pipelines with Databricks, ADLS and Azure SQL. Works in an Agile team alongside architects, analysts and business stakeholders.

Opus Recruitment Solutions · London · £600 – £650 pd

Design and build scalable Snowflake data pipelines and cloud-native platforms on AWS, including resilient document ingestion for unstructured healthcare records. Develop ETL frameworks to transform clinical data into analytics-ready datasets while meeting GDPR and healthcare governance standards, using Snowflake Cortex, Python, SQL, dbt, Airflow and Terraform.

Opus Recruitment Solutions · Nottingham · £450 – £500 pd

Builds and optimises scalable ETL/ELT pipelines and Lakehouse architectures on Azure Databricks, working with Python, PySpark and Spark SQL across Bronze, Silver and Gold layers on ADLS Gen2. Handles ingestion via Auto Loader and CDC, orchestrates workflows with Lakeflow, and applies Unity Catalog governance and Azure DevOps CI/CD. Hybrid role with three days per week on site in Nottingham.

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.

Syntax Consultancy · Derby · £40,000 pa

Builds and establishes modern data engineering solutions on Microsoft Fabric, working hands-on with OneLake, Lakehouses, Warehouses, Data Pipelines, Dataflows, Notebooks and Eventstreams. Uses SQL, T-SQL, Spark SQL, PySpark and Python for ingestion, transformation, modelling and converting source data into validated Delta tables, plus Power BI for semantic models. Integrates third-party APIs and migrates legacy data platforms, joining an established team with hybrid working.