Data Engineer
Core
Design, build, and maintain scalable data pipelines and architectures using Azure Data Services and Microsoft Fabric for clients in Energy, Public, and Finance sectors.
Role type
Senior Data Engineer (IC with mentorship responsibilities)
Builds
Production data pipelines, lakehouses, warehouses, and semantic models on Azure
Domain
Enterprise Data Engineering / Cloud Data Platform
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Azure Data Factory, Synapse, Microsoft Fabric, Power BI, Databricks, SQL, Python, Spark, Data Governance, CI/CD
Preferred skills
Data architecture design, Data migration, Client consulting, Team mentoring
Technologies
Azure, Microsoft Fabric, Power BI, Purview, Databricks
Responsibilities
Design and build scalable data pipelines using Azure tools; Integrate data from multiple systems into Azure Data Lake Storage; Develop ELT/ETL processes optimizing for cost and performance; Build and maintain Microsoft Fabric artefacts; Perform advanced data transformations; Manage and optimize data models for Power BI; Apply data governance and security best practices; Conduct data quality checks and validation; Collaborate with cross-functional teams and clients; Mentor junior engineers; Contribute to CI/CD processes and documentation; Troubleshoot pipeline failures and performance issues.
Seniority
Senior, hands-on IC with mentorship
