Data Engineer

Description

Markit is how procurement teams across Europe buy IT products. Around 230 people, 50+ countries, one platform. Every order, price, supplier and customer runs through it, and we want that data to work for the whole company.

Our data platform starts with you: a warehouse on Azure, pipelines from the marketplace's service databases (mostly PostgreSQL), our ERP and the CRM, and an access model that lets people and AI tools use the data safely. The stack is open. We expect you to propose it and defend the choice. You sit in the platform team, which runs our Azure infrastructure with you.

The warehouse also opens a product. Enterprise customers want to understand their IT spend, and better reporting on the data we already hold is an opportunity we are looking at. You help shape what that becomes.

Requirements

• 5+ years in data engineering, including at least one warehouse or lakehouse you built or rebuilt and ran in production.
• Strong SQL and Python, data modelling (dimensional or similar), and hands-on experience with orchestration and ELT tooling.

  You treat pipelines as code: version control, tests, CI/CD.

• Experience with Azure data services, or a clear case for what you would run on Azure instead. You have pulled data out of operational PostgreSQL databases without hurting them (CDC, logical replication or similar).
• You have handled personal data under GDPR: access control, retention, masking.
• You explain data to non-technical people and write things down.
• Fluent English.
• E-commerce or marketplace data, and experience giving LLMs or agents access to data, are a plus.