Data Engineering Jobs

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 · Abingdon · US$200,000 – US$225,000 pa

Builds scalable data platforms, pipelines and ML infrastructure, and deploys production AI solutions including LLMs, RAG systems and AI agents. Works in a small, highly visible team partnering with investment and operational stakeholders, owning projects end-to-end from design through production and driving architecture decisions.

Catalyst · Newcastle upon Tyne · £60,000 – £100,000 pa

Design and build scalable data pipelines and full-stack data products, integrating data from diverse sources into cloud platforms while ensuring data quality and reliability. Develop production-grade applications and APIs using modern DevOps practices, collaborating across teams to enhance data accessibility and drive innovation with cloud-native solutions. Work within a high-performing engineering team to support analytics and AI-driven systems using distributed computing and infrastructure-as-code.

Network IT · United Kingdom · £700 – £750 pd

Lead the design and implementation of data flows connecting operational systems, analytics and BI platforms, plus data streaming systems and database management. The role involves building and testing complex or large-scale data products, selecting technologies for resilient, scalable solutions, and designing metadata repositories. It also covers troubleshooting databases and data processes, and facilitating discussions across technical and non-technical stakeholders.

Real · Berkshire · £500 pd

Hands-on Data Engineer to design and build pipelines and data models on a greenfield Microsoft Fabric platform, supporting the end-to-end implementation of a new enterprise data environment. Involves shaping architecture, integration processes and best practice while working closely with business and technical stakeholders.

Nurseplus · Nottingham

Own the cloud data environment, pipelines and architecture, working with a Lead Technology Architect to build scalable storage, automated ETL/ELT integrations and layered data models. Also covers database performance tuning, data governance, security, BI semantic models and API development, with a remote-first pattern and occasional on-site collaboration.

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.

Matchtech · Surrey · £50,000 – £75,000 pa

Designs, builds and runs scalable batch and streaming data pipelines and data models, turning complex sensor and geospatial sources into reliable datasets for analytics and ML. Works across Azure plus edge and on-prem deployments with data scientists, analysts and platform engineers in a Kanban agile team, covering orchestration, testing, Docker and Kubernetes.

Tenth Revolution Group · Cambridge · £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, lineage and observability, plus secure data services and APIs, with scope to build and lead a wider data function.

Fort Recruitment · Birkenhead · £50,000 – £55,000 pa

Operates the observability and data infrastructure behind an industrial energy-telemetry platform, covering the full data lifecycle from ingestion and storage to transformation, analysis and visualisation. Builds and maintains ETL/ELT pipelines over time-series and event data, creates dashboards and alerting tools, and integrates platforms with custom software and external APIs. Full training is provided and the employer values engineering judgment over specific prior tooling.

Exalto Consulting · Bradford

Design and build end-to-end ETL/ELT solutions on Microsoft Fabric, including Dataflow Gen2 pipelines, Fabric Notebooks and Lakehouse with Medallion architecture. Work with SQL, Python, Spark SQL and Delta Lake, integrating APIs, databases, CRM and ERP sources, plus CI/CD, monitoring and data quality. Collaborate with Data Architects and BI teams on a modern platform supporting analytics, AI and operational use cases.

Lynx Recruitment · London

Data Engineer (Permanent)Salary: Up to£65,000Location: London Victoria (1 day per week onsite, rest remote)The Role We are seeking a skilledData Engineer to join a growing team delivering modern, scalable data solutions. This is a permanent opportunity offering a hybrid model,...

Robert Walters · Nottingham · £50,000 – £60,000 pa

Builds and maintains data pipelines, ETL processes and structured data warehouses, integrating information from multiple sources and running strict data quality checks. Works with SQL, Python, Databricks, Azure Data Factory, Logic Apps and Synapse Analytics in a hybrid Nottingham team.

Elevation Recruitment · Rotherham · £45,000 – £55,000 pa

Hands-on role building, integrating and maintaining cloud-based data pipelines and datasets that support reporting and analytics. Works with SQL Server/Azure SQL, Databricks, Microsoft Fabric and Power BI, reconciling data against source systems and improving data quality, monitoring and automation alongside Data Analysts.

ClickHouse · United Kingdom

Leads the team building and operating ClickHouse Managed Postgres, owning provisioning, high availability, backup and recovery, upgrades, observability, performance and security. Combines people leadership, technical direction and product thinking, partnering with Product, Design, Infrastructure and Security across a distributed organisation. Also involves hiring and coaching engineers and working directly with customers.