Data Engineer

Maybe you call yourself a Data Engineer or a Data Specialist or a BI Developer or a Data Architect or an Azure Developer, or maybe you just call yourself Alex? This vacancy is part of our Delivery team and applies to all the above titles.

• ~5+ years hands-on, across data engineering and database development. We weight depth and range over the exact number, but this isn't a junior seat; you've owned real warehouse work, not just touched it.

• Real relational-database depth: you model in 3NF, read an execution plan, tune a slow query, and work confidently in the Data Vault layer beneath the mart, not just the semantic layer on top.

• Excellent T-SQL: especially stored procedures for transformation and loading.

• Hands-on Azure data engineering: you've built end-to-end pipelines with ADF, Data Lake Gen2 and Azure SQL.

• You build in Power BI, not just consume it: datasets/semantic models, relationships, DAX, reports.

• A reliability habit: data quality validated and monitored as part of the work, Git as a default, and the confidence to trace a broken pipeline/proc/DB project to root cause and fix it calmly.

• Communication: fully comfortable in English to collaborate with clients and a remote team.

• Nice to have: experience with Data Vault 2.0 specifically (hubs, links, satellites, hash keys); knowledge in Python; exposure to a semantic-layer tool such as Dremio; background in operational / logistics / industrial domains (e.g. ports, terminals, maintenance/CMMS, IoT-style event data).

We're 60+ data heroes across Europe, and we hire to widen that mix, not narrow it. What matters is what you can do and the perspective you bring, not your age, gender, ethnicity, orientation, disability, background, or where you studied. If the role excites you and you bring most of it, apply: the people who add the most rarely tick every box.