Data Engineer / Analytics Engineer (Databricks & Power BI)
Core
Design, develop, and maintain scalable ETL/ELT pipelines and reporting datasets within Databricks environments while building Power BI dashboards and semantic models for business stakeholders.
Role type
Senior Data Engineer / Analytics Engineer
Builds
Scalable data pipelines, enterprise reporting datasets, and Power BI dashboards
Domain
Cloud data platforms, Business Intelligence, Data Warehousing
Required skills
Databricks, Power BI (DAX, Data modelling, Power Query), Advanced SQL, ETL/ELT pipeline development, Data warehousing, Dimensional modelling
Preferred skills
Python, PySpark, Azure Data Factory, Microsoft Fabric, Delta Lake, Data governance
Responsibilities
Design and maintain scalable ETL/ELT pipelines; Build and improve reporting datasets in Databricks; Develop Power BI dashboards and semantic models; Create and maintain robust data models and transformation logic; Troubleshoot data pipeline and performance issues; Partner with business stakeholders to translate requirements into technical solutions; Document data pipelines and business logic.
Seniority
Senior, hands-on IC