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Leads data engineering for a cloud-first customer data platform (CDP) on Azure Databricks, covering enterprise data modelling and governance. Works in a hybrid London team using Azure, Databricks, PySpark, Python, and SQL on an initial contract through Dec 2026.
Senior data engineering lead at Omnicom Media's London team owning and extending a config-driven data platform (DMI) — building ELT pipelines from Cloud Function ingestion into BigQuery with dbt transformations. Mentors data engineers, drives DataOps, and partners with analysts/BI across multiple clients; in-office 3 days a week.
A hands-on Data Engineering Manager will lead a data engineering squad in Manchester, driving a central data platform transformation from batch processing to real-time, event-driven architecture. Day to day this means owning the data infrastructure, pipelines, and reporting capabilities the business relies on.
Lead a team of Data Engineers at Unite Students, providing technical direction while staying hands-on with complex engineering work — evolving the Databricks data platform and building data pipelines that support analytics, reporting and data science.
Cleo (UK) is hiring a Lead Analytics Engineer on a six-month contract to design and own the data foundations for People Analytics — building trusted datasets from Ashby and HiBob with data contracts, governance, and an audit layer. Day-to-day is SQL/dbt modeling in partnership with Security, Privacy, Finance and the People team, ending in a handover of a maintainable domain.
A hands-on Data Engineer designing, building, and maintaining data pipelines on an AWS-native stack, using Spark/PySpark for distributed processing, Airflow for orchestration, and Terraform for infrastructure as code. Hybrid role with weekly travel to the Newcastle office, plus work on data governance and dimensional modeling.
Data Engineering Lead at Unite Students guiding the Data & Insight team: leading and coaching data engineers while staying hands-on, evolving the Databricks data platform, shaping data strategy, ensuring scalable and secure data platforms, and collaborating with BI, Data Science and Architecture to drive Agile delivery.
A hands-off Senior Data Engineering Manager role leading three data engineering teams at a globally-established construction firm, focused on strategy, people management, and technical judgment. Core tech includes Databricks, Azure, ETL, and data warehousing, with emphasis on governance, vendor management, and a 3-days-in-office London hybrid setup.
Lead a Data Feature Team at St. James's Place in Gloucester, planning, building, testing and delivering scalable data solutions aligned with the firm's Data Strategy. The role centers on SQL, data engineering/analysis, data quality and governance, with agile delivery and wealth/financial-services domain knowledge valued.
A 12-month contract role building data pipelines, analytics and AI-assisted automation for a global technology organisation, working hands-on with Databricks, SQL, Python and PySpark while using AI tools like Claude Code and Copilot — and validating, challenging and improving their outputs.
A data analytics and reporting analyst on a data engineering team at an investment management firm, sourcing and validating investment data, building quantitative models, performance attribution systems and automated dashboards for investment teams. Day-to-day work uses Python, R, SQL and cloud/data platforms, coordinating with colleagues across Boston, New York, London and India.
BI Developer building and maintaining data pipelines and PowerBI models for a client's data team, delivering dashboards and reports and contributing to data warehousing initiatives. Hybrid role based in Leeds (3 days/week in office) requiring strong SQL and 5+ years of data engineering experience.
Analyst on Columbia Threadneedle's (Ameriprise) Data Engineering team in London, building quantitative models, investment data pipelines, dashboards and automated reporting to support investment oversight, research and portfolio construction. Core stack is Python, R and SQL, with cloud, BI and investment data platforms preferred.
Analytics Engineer on the Business Analytics team at Signal AI: builds and maintains ETL pipelines and data models (SQL, dbt, Airflow), creates Power BI/Tableau dashboards, and partners with engineering, ops and product to deliver self-service analytics for enterprise clients and internal users.
An Analytics Engineer at Signal AI designs, builds, and maintains ETL pipelines, data models, and interactive dashboards (using SQL, Python, dbt, Airflow, Power BI, Tableau) for enterprise clients and internal teams, enabling self-service analytics and data-driven decisions.
Dunelm is hiring a Systems Data Analyst to bridge source systems and data engineering: translating business questions into precise data requirements, modelling data concepts, and validating data with SQL. This hybrid UK role documents data structures and supports data governance and scalable analytics.
A hands-on analyst on Columbia Threadneedle's Data Engineering team in London, translating investment teams' needs into data solutions, quantitative models (backtesting, scenario analysis, attribution) and automated reporting/dashboards. Core stack: Python, R, SQL and database platforms, working with colleagues across Boston, New York, London and India.
Lead a team of Data Scientists, Data Engineers and ML Ops Engineers at Woven by Toyota, shaping data strategy and overseeing production-ready data pipelines and scalable ML model performance for autonomous driving planning and perception solutions.
Senior hands-on data engineer who defines and builds a cloud data platform (AWS, Azure, Databricks or Snowflake) powering analytics and AI, including RAG, vector search and LLM integrations, while leading governance and mentoring. Hybrid role in Newcastle upon Tyne, 3 days per week in office.
Avanti Recruitment is placing DV-cleared mid-to-senior data engineers in hybrid UK roles (including Manchester) to build and own secure data pipelines and platforms on AWS, using lakehouse/medallion architectures with both batch and streaming processing for clients in regulated environments.
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