Data Engineer | £60-75K | London (5 days p/w Onsite)
Build a greenfield data platform from scratch!
A major logistics company is undergoing a massive digital transformation. Legacy systems are being dismantled, replaced with a clean, cloud-native Azure stack - and the new data team is central to making it all work.
You'll be working directly with their Head of Data, building Azure-based pipelines from the ground up, and shaping how the company uses data to drive decisions. There's real investment, real urgency, and real interest in doing this properly - not endless meetings and PowerPoints.
What you'll be doing:
* Designing, building, and optimising end-to-end data pipelines using Azure Databricks, PySpark, ADF, and Delta Lake
* Implementing a medallion architecture - from raw to enriched to curated
* Working with Delta Lake and Spark for both batch and streaming data
* Collaborating with analysts to validate and refine datasets for reporting
* Applying CI/CD and DevOps best practices (Git, Azure DevOps)
* Enforcing data governance using Azure Purview and Unity Catalog
* Optimising Spark jobs and SQL queries for performance and cost efficiency
* Exploring emerging tech like Kafka/Event Hubs and Knowledge Graphs
What they're looking for:
* A strong communicator - someone who can build relationships across technical and business teams
* Hands-on experience building pipelines in Azure using Databricks, ADF, and PySpark
* Strong SQL and Python skills
* Understanding of medallion architecture and data lakehouse concepts
* Bonus points if you've worked with Power BI, Azure Purview, or streaming tools
* You're versatile - happy to collaborate with architects, analysts, and business stakeholders
* Proactive problem-solver who can troubleshoot and optimise data pipelines
Why now?
* Help build a greenfield platform with a modern Azure stack
* Real business impact - maritime logistics, supply chain operations
* A rare opportunity to shape something properly, from the ground up
* Work with cutting-edge cloud technologies and emerging data tools
Apply here to register your interest!
McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.