Overview
We're working with a client looking for a strong Azure Data Architect / Engineer to help shape and build out their data platform.
It's a mix of hands-on engineering and higher-level design, with a big focus on modern tooling across Azure and Microsoft Fabric. They're moving towards a more unified, lakehouse-style setup, so it's a good opportunity to work on something fairly greenfield rather than just maintaining legacy pipelines.
What you'll be doing
* Designing and building data pipelines across Azure and Fabric
* Working on lakehouse architecture (Fabric / Data Lake)
* Getting involved in data modelling for reporting and analytics
* Helping move existing solutions into a more modern Azure/Fabric setup
* Working closely with analysts and business stakeholders to understand requirements
* Keeping an eye on performance, cost, and general optimisation
* Inputting into architecture decisions (especially if you're more senior)
What they're looking for
* Solid experience across Azure data services (ADF, Synapse, Data Lake, Azure SQL)
* Some exposure to or interest in Microsoft Fabric (OneLake, pipelines, warehouse, etc.)
* Strong SQL and data modelling fundamentals
* Experience building ETL/ELT pipelines end-to-end
* Python and/or Spark (Databricks or Fabric) is a big plus
* Comfortable working in a fairly collaborative, non-siloed environment
If interested, please reach out.
