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.