Data Engineering Jobs

SGN · Portsmouth

Oversee the full lifecycle of data projects, from stakeholder engagement and data collection through transformation to final delivery, acting as the primary point of contact for delivery. Lead a delivery silo or large project within a team of business analysts, data engineers, analysts and testers, managing E2E data migration including ETL and reconciliation, and driving Agile practices and Jira-based reporting.

Harnham - Data and Analytics Recruitment · London · £90,000 – £100,000 pa

Leads the data and insights function across a complex operational environment, owning strategy, measurement frameworks, scorecards and experiments. Manages and coaches a team of analysts while acting as senior analytical partner to leadership, driving standards and championing responsible AI and automation. Requires strong SQL, cloud warehousing and modern tooling such as BigQuery, dbt, Airflow and Looker/Tableau.

Ashdown Group · London · £120,000 – £150,000 pa

Owns the enterprise data architecture, engineering strategy and cloud data platform, setting the technical roadmap and leading a data engineering function. Drives DataOps, CI/CD, observability and governance while building foundations for AI/ML, vector search and advanced analytics, partnering with Product, Data Science and senior leadership.

Harnham - Data and Analytics Recruitment · London · £90,000 – £100,000 pa

Design, build and own end-to-end data pipelines for real-time and batch analytics on high-volume, low-latency use cases. Work with Python, SQL, PySpark, AWS (S3, Glue, EKS), Snowflake, dbt, Iceberg and Dagster/Airflow, applying software engineering practices like CI/CD, testing and version control. Collaborate with analytics, product and engineering teams in a fully remote UK/Europe team.

R3vamp · Milton Keynes

Lead the Data & MI team while owning the organisation's Business Intelligence capability, driving the migration from legacy Cognos reporting to a modern Microsoft Azure environment. Act as Enterprise Data Owner, embedding data governance and improving data quality, and translate business requirements into insight using Power BI, Azure Data Lake, Databricks and SQL. The role combines hands-on delivery with mentoring and stakeholder work across Finance, IT and Data Engineering.