BI Data Engineer
Core
Build, develop, and maintain a modern data platform ensuring reliable, efficient, and scalable data movement from source to analysis for BI solutions.
Role type
BI Data Engineer
Builds
Modern data platforms and data layers
Domain
Data Engineering / Business Intelligence
Required skills
Python, PySpark, SQL (T-SQL, Spark SQL), data pipeline orchestration (Airflow), lakehouse architecture, data warehouse modeling, CI/CD workflows, open data formats (Delta Lake, Parquet), cloud infrastructure
Preferred skills
Azure environments, Microsoft data platforms, Git-based development, ERP systems (Business Central), data governance
Technologies
Python, PySpark, T-SQL, Spark SQL, Airflow, Delta Lake, Parquet, Azure, Business Central
Responsibilities
Build and develop data pipelines and data layers within a lakehouse architecture; Model data warehouse structures and create optimized views for analytics; Develop and maintain SQL- and PySpark-based data processing solutions; Configure and develop orchestration and event-driven workflows; Contribute to CI/CD processes and automated testing; Collaborate with consultants and developers, justify technical choices and document solutions
Seniority
Mid-level, hands-on IC
