Data Engineer

Data Engineer | £60-65K | London (5 days p/w Onsite) Build a greenfield data platform from scratch! This logistics company is halfway through a massive digital transformation. Legacy monoliths are being dismantled, replaced with a clean, cloud-native, modular stack - and the new data team is central to making it all talk. 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 across 50 systems. 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 Azure-based data pipelines using Databricks, PySpark, ADF, and Delta Lake Implementing a medallion architecture - from raw to curated Collaborating with analysts to make data business-ready Applying CI/CD and DevOps best practices (Git, Azure DevOps) Supporting the team's growth with clean, well-documented code Exploring real-time logistics datasets What they're looking for: A strong communicator - someone who can build relationships and help connect silos Experience building pipelines in Azure using Databricks, ADF, and PySpark Strong SQL and Python skills Bonus points if you've worked with Power BI, Azure Purview, or streaming tools You're versatile - happy to support analysts and wear multiple hats in a small, growing team Genuinely interested in ML/AI (no need to be an expert) The catch (read this): This is 5 days onsite in their London office. They're building the data team face-to-face, not over Zoom. Candidates must be London/Home Counties-based. Why now? Help build a greenfield platform with a modern Azure stack Real business impact - logistics, supply chain, real-time data A rare opportunity to shape something properly, from the ground up Apply here to register your interest! McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

Location: South East, GB

Posted Date: 7/14/2025