Data Engineering Jobs

Harnham - Data and Analytics Recruitment · London · £45,000 – £55,000 pa

Build and maintain proprietary tools, API integrations and data pipelines that support marketing and analytics teams. Work across JavaScript, TypeScript, Node.js and GCP, with exposure to AI frameworks and automation workflows. Sits at the intersection of software engineering, data and digital marketing, collaborating closely with SEO, paid media and content teams.

Harnham - Data and Analytics Recruitment · London · £100,000 – £110,000 pa

Hands-on data engineering lead role at a private equity firm, designing and scaling modern data platforms across a portfolio of companies. Combines technical delivery, data architecture and senior stakeholder advisory, with direct C-suite exposure and a focus on making infrastructure AI-ready for advanced analytics and agentic AI use cases.

Tenth Revolution Group · Reading · £55,000 – £65,000 pa

Designs and builds scalable cloud data solutions, supporting a migration from a legacy SQL environment to Azure Databricks. Works with Python, PySpark, Delta Lake and Unity Catalog to create pipelines, transformation frameworks and curated data layers, while optimising models for analytics and self-service BI. Involves governance, security and data architecture decisions within a growing data function.

HAYS Specialist Recruitment · London · £70,000 – £90,000 pa

Designs and builds modern machine learning and AI services within a collaborative data team, developing and optimising data pipelines across a cloud analytics platform. Works with PySpark, Python, SQL, Databricks or Snowflake on AWS, supporting ML and GenAI infrastructure in agile squads.

HAYS Specialist Recruitment · Eastleigh · £50,000 – £70,000 pa

Builds and supports data products on a modern cloud data platform, developing and optimising pipelines and integrating varied sources with strong quality standards. Works in agile squads alongside data and AI engineers, scientists and architects, using PySpark, Python, SQL and Databricks or Snowflake on AWS, with orchestration, monitoring and ML/GenAI infrastructure duties.

83zero · London · £65,000 – £75,000 pa

Client-facing consulting role building and maintaining scalable data pipelines with Azure Data Factory, Databricks and Azure SQL, plus ETL in SQL and Python. You'll design Kimball, 3NF and dimensional models, develop metadata-driven pipelines and work with financial services clients on reporting, analytics and operational data platforms.

Talent Sure Recruitment Limited · London · £40,000 – £80,000 pa

Builds and supports data products on a modern cloud platform, developing and optimising scalable batch and real-time pipelines while integrating large datasets with strong governance. Works in a collaborative agile squad of data and AI engineers, scientists and architects, using Databricks or Snowflake on AWS, Python, PySpark, Airflow and Terraform, with scope to experiment with ML and generative AI.

Reperio Human Capital · Dublin, Ireland · £388 – £474 pd

Hands-on role designing, building and deploying production ML and GenAI solutions, including RAG architectures, on Snowflake and cloud data platforms. Covers the full ML lifecycle from experimentation to monitoring, with strong MLOps, CI/CD and software engineering practices, working across data, product and business teams.

eTech Partners · London · £60,000 – £65,000 pa

Designs and builds data solutions using Microsoft Fabric and Azure, developing and maintaining ETL/ELT pipelines across multiple sources. Works with Fabric Lakehouses, Notebooks, Pipelines and Workspaces alongside Azure Data Factory, Databricks, Azure SQL and Synapse, coding in SQL, Python and PowerShell. Also supports Power BI reporting and ensures data quality, security and governance, using Azure DevOps/GIT for source control and deployment.

DCV Technologies · Sheffield · £400 – £495 pd

Lead technical delivery of governed data foundations for an Operational Resilience programme at a major banking group, building scalable pipelines and reusable data products on GCP/BigQuery. The role covers data quality, lineage, metadata and modelling to support MI, service dependency mapping and resilience scenario analysis, working in Agile teams with architects and business stakeholders.

Forsyth Barnes · Nottingham · £60,000 – £65,000 pa

Designs and delivers Power BI dashboards, semantic models and ETL/ELT pipelines across a Snowflake, SQL and Python environment, supporting operational and commercial decisions in vehicle rental and automotive services. Combines hands-on engineering with stakeholder engagement, data governance and exploration of automation and AI-enabled analysis.

Amazon · London

Designs and builds ETL pipelines and data models at scale, working across the full data lifecycle from ingesting semi-structured streams to enabling self-service analytics. Collaborates with analysts, scientists and engineers on data quality, lineage and query performance, and mentors peers on architecture best practices. Sits within a supply chain planning data infrastructure team.

Adria Solutions · Southampton · £40,000 – £45,000 pa

Hands-on role building and maintaining scalable data pipelines in Python and SQL on a cloud-based enterprise platform using Azure and Databricks. Involves data integration, governance, database administration and exploring AI-driven automation for pipeline monitoring, working closely with Data Scientists and analysts.

Jackson Hogg · Sunderland · £55,000 – £65,000 pa

Builds and maintains ETL/ELT pipelines, integrating data from multiple systems and external providers into an Azure-based data estate. Develops scalable data models and improves monitoring, testing and platform performance while supporting data quality and governance. Works with data engineers, BI specialists and business stakeholders to deliver trusted reporting datasets.

Spectrum IT Recruitment · Southampton · £40,000 – £45,000 pa

Design, develop and maintain data pipelines supporting sports analytics and player tracking, working extensively with Python and SQL. You'll help grow a Databricks environment, integrate event and tracking data, and work closely with Data Scientists while taking technical ownership of data engineering challenges and architecture decisions.