Data Engineer

Cambridge Tech Recruitment is lookingfor experienced Data Engineers who combines strong delivery skills with an understanding of cloud architecture.

This is a hands-on engineering opportunity with scope to influence how the data platform is designed, integrated and operated. You’ll build reliable pipelines while helping shape an Azure environment that is secure, scalable and straightforward to maintain.

The project is kicking off at the start of November. SDS is in progress, but likely outside IR-35 - please send both inside and outside rates. Mostly remote, with some travel to the Cambridgeshire area. Initial term : 6 months.

What you’ll be doing

• Designing, building and maintaining data pipelines using Azure Data Factory, SQL and Python.
• Developing ingestion and transformation processes across operational systems, APIs and other data sources.
• Contributing to architecture decisions around storage, processing, integration and data modelling.
• Working with Azure Data Lake Storage and platforms such as Databricks, Synapse or Microsoft Fabric.
• Applying appropriate access controls, managed identities and secrets management.
• Building monitoring, data-quality checks and recovery processes into pipelines.
• Improving performance and managing cloud costs through practical engineering decisions.
• Supporting repeatable deployments through infrastructure as code, version control and CI/CD.
• Working with architects, analysts and business stakeholders to turn requirements into working solutions.

What we’re looking for

• Proven experience delivering production data engineering solutions in Azure.
• Strong SQL and Python skills, with hands-on Azure Data Factory experience.
• Experience with Azure Data Lake Storage and at least one of Databricks, Synapse or Microsoft Fabric.
• A solid understanding of ETL/ELT, data modelling and lakehouse or warehouse design.
• The ability to explain architectural trade-offs and implement the chosen approach.
• Familiarity with Azure security, identity and networking principles as they apply to data platforms.
• Experience using Git and CI/CD to deliver maintainable, reliable solutions.
• Confidence owning technical deliverables and troubleshooting across the data stack.

Useful additional experience

• Terraform or Bicep.
• PySpark and distributed data processing.
• Microsoft Purview, data lineage and governance.
• Event-driven ingestion or streaming data.
• Multi cloud architecture is beneficial

Interested?

Send your CV to [email protected] , including your availability, preferred day rate and location.