Specialty
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The role
The company is hiring a Senior Data Engineer in its Customer Engineers team within Professional Services. The role leads data infrastructure across Microsoft Fabric, on-premise SQL and Dynamics 365 (Dataverse), and delivers Power BI analytics. Work follows US business hours.
What you will do
- Lead design and optimization of ETL and data pipelines across platforms
- Set best practices for data integration, quality, security and governance
- Manage data migrations, archival and integrations between systems
- Build Power BI dashboards and analytical models
- Gather requirements from customers and implement platform features for clients
- Mentor teammates and write documentation and knowledge base content
What they ask for
- BS in computer science, engineering, math, statistics or a similar field
- 3+ years in a technical role handling large data sets (ETL, warehousing, analytics)
- 6+ years in client-facing roles serving technical and non-technical users
- Extensive SQL Server and ETL experience in hybrid on-premise and cloud setups
- Hands-on Microsoft Fabric experience (Lakehouse, Data Pipelines or Data Engineering)
- Power BI proficiency including data modelling and DAX
- Python or SQL scripting for data processing
- Available during US business hours
This is our own short reading of the posting. The full description, and anything that has changed since, is on the employer's careers page behind the apply button.
