Role OverviewThe BI & Data Engineer builds and operates systems that move data from vendor and internal source systems into Azure, and turns that data into reporting the business relies on. This is a hands-on build-and-run role on a two-person data team.
What You Will Do
Own recurring reporting cycles, build and maintain Power BI datasets, reports, and DAX measures, and systematically replace manual and Excel-based reporting with automated equivalents.
Why It Might Be a Fit
The ideal candidate has 3–7 years of experience in data engineering, BI engineering, or hybrid analytics, with hands-on Azure data services experience and strong SQL skills.
Requirements
- 3–7 years in a data engineering, BI engineering, or hybrid analytics role
- Hands-on Azure data services experience: Data Factory, Blob Storage / Data Lake, Azure SQL
- Strong SQL, including performance work on large tables
- Power BI: datasets, DAX measures, refresh configuration
- Python or C# at a level sufficient to write and maintain API extraction code independently
- Practical experience consuming REST APIs: authentication, pagination, rate limits, retry and error handling
- Advanced Excel, including automation
- Source control (Git) and repeatable deployment practice
- Comfort working directly with business stakeholders and owning the conversation end to end
- Demonstrated ownership of production systems, including responsibility when they fail
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