Data Engineering Jobs

WeDoTech · London · £800 – £1,000 pd

A hands-on Staff-level role leading a major data estate modernisation for a UK financial services organisation, migrating large-scale pipelines and building new data products. You will shape architecture and engineering patterns while remaining deeply involved in Python, PySpark, Spark, AWS Glue and Airflow, and champion AI-assisted development across multiple teams.

Harnham - Data and Analytics Recruitment · Oxford · £65,000 – £75,000 pa

Lead the development of a greenfield AWS capability while supporting an existing Azure estate, acting as the AWS subject matter expert. Hands-on work spans architecture, Landing Zones, governance, Terraform IaC, CI/CD pipelines with GitHub Actions and Azure DevOps, plus automation, security and mentoring junior engineers.

Deerfoot Recruitment Solutions · United Kingdom · £90,000 – £115,000 pa

Designs and delivers secure, scalable cloud-native data platforms across AWS, Azure and GCP for enterprise clients, leading migrations to Snowflake, Databricks, BigQuery, Synapse and Redshift. Builds PoCs and MVPs for AI and advanced analytics, automates infrastructure with Terraform and CI/CD, and advises senior stakeholders on data strategy, Data Mesh and Data Fabric architecture.

Harnham - Data and Analytics Recruitment · London · £90,000 – £110,000 pa

Defines and evolves the architecture of a modern cloud-based data platform, providing technical leadership across data platform and engineering teams. Designs scalable, secure data solutions and champions DataOps practices including CI/CD, testing, monitoring and automation, while guiding ETL/ELT implementation and AI-enablement initiatives.

Matillion · Hyderabad, India

You'll work in a small cross-functional team writing, testing and releasing new features and fixing problems across Matillion's data automation products, from design through CI/CD deployment to ongoing production support. The stack spans Java, Spring microservices, React, GraphQL, Docker, Kubernetes and AWS, with code reviews, research projects and mentoring built into the role.

Tenth Revolution Group · London · £70,000 – £85,000 pa

Builds and maintains scalable data pipelines in Databricks, developing batch and streaming workflows and designing Lakehouse architectures with medallion models. Works alongside data scientists, analysts and product teams in a cloud-first Azure environment, implementing data quality, governance and observability frameworks while driving engineering best practice through code reviews.

Tenth Revolution Group · London · £70,000 – £80,000 pa

Leads analytics workstreams within enterprise data and transformation programmes, managing teams of Data Analysts, Analytics Engineers and Data Engineers. Defines delivery, governance and quality standards, partners with senior stakeholders, and contributes to bids and pre-sales. Requires strong SQL and Python plus Fabric, Databricks or Snowflake experience.

Adria Solutions · Manchester · £70,000 – £90,000 pa

Hands-on lead role owning an existing data estate and building a modern, scalable platform supporting BI, Data Science and Applied AI. Involves modernising SQL Server, SSIS and Power BI, developing batch and real-time processing, lakehouse architecture on AWS, and line-managing a small team of Data Engineers.

TEKsystems · London · £300 – £370 pd

Documents and redesigns a complex, high-volume transactional platform for a large payments company, producing conceptual, logical and physical data models and defining data standards. Works closely with developers and engineers to implement OLTP and system-of-record database architecture, with a focus on relational technologies such as PostgreSQL, Oracle or SQL Server.

Noir · Manchester · £60,000 – £75,000 pa

Design and implement robust data pipelines and configure Quantexa components while leading the technical development of Quantexa-based solutions for established clients. Work with Spark, Scala and Python Databricks, with exposure to DevOps and CI/CD tooling such as Jenkins, GitHub Actions, Azure DevOps, Docker and Kubernetes. Hybrid role in Manchester supporting client data engineering and integration engagements.

Noir · Birmingham · £60,000 – £75,000 pa

Design and implement robust data pipelines and configure Quantexa components while leading the technical development of Quantexa-based solutions for established clients. Work with Spark, Scala and Python Databricks, with exposure to DevOps and CI/CD tooling such as Jenkins, GitHub Actions, Azure DevOps, Docker and Kubernetes. Hybrid role in Birmingham supporting client data engineering and integration engagements.

Data Idols · London · £500 – £650 pd

Design, develop and optimise scalable data pipelines and cloud-based data warehousing solutions, improving platform performance, reliability and scalability. Work with Data and Analytics Engineers on ETL/ELT processes, data architecture and reusable data solutions, with GCP and BigQuery highly desirable alongside Python and SQL.

Fuel Recruitment · Farnborough · £550 – £600 pd

Build and optimise cloud-based data integration and analytics solutions for a defence-sector client, focusing on scalable ETL pipelines, data lakes and processing frameworks in AWS. Day-to-day work centres on AWS Glue jobs using PySpark and Python, Glue Data Catalog, crawlers, workflows and triggers, plus S3 data lake management and IAM security. Three roles, outside IR35, with three days a week onsite.

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.

Bright Purple · Edinburgh · £500 – £550 pd

Defines and governs the end-to-end data architecture for a major COINS ERP transformation, owning complex data migration, mapping, cleansing and reconciliation. Establishes master data, stewardship, lineage and data quality controls, and assures vendor data models and migration designs through rehearsals, cutover and deployment.