Staff Data Engineer (Reporting & Analytics) (f/m/d) - Kraków (onsite) OR Poland (remote)
Core
Designing and improving Danaher's data management & analytics function to build analytics strategies that align with business priorities and drive measurable business outcomes.
Role type
Staff Data Engineer (Reporting & Analytics)
Builds
Analytics-ready datasets, semantic layers, catalogues, APIs, and medallion architecture lakehouse solutions for Danaher Opcos.
Domain
Life sciences, diagnostics, and biotechnology
Deliverable
production ML models | product features | dashboards & analysis
Required skills
PySpark, Fabric/Databricks lakehouse solutions, Dataflow Gen2, Fabric Pipelines, Power BI architecture (DirectQuery, Composite Models, RLS, OLS), complex ETL/ELT workflows, CI/CD practices, cloud data ecosystems (AWS, Azure)
Preferred skills
Modern data warehouses (Snowflake, BigQuery, Redshift), cloud data platforms (AWS, Azure, GCP), data governance, metadata management, data quality frameworks
Technologies
PySpark, Fabric, Databricks, Dataflow Gen2, Power BI, AWS, Azure, Snowflake, BigQuery, Redshift
Responsibilities
Build and maintain analytics-ready datasets optimized for reporting and dashboards; Enable self-service access through semantic layers, catalogues, and APIs; Partner with stakeholders to translate business questions into clear, accurate metrics; Ensure data accuracy, freshness, and consistency across reporting surfaces; Implement testing, documentation, and quality checks for data analytics; Build and manage complex ETL/ELT workflows for downstream analytics and reporting.
Seniority
Staff, hands-on IC with strategy alignment
