Staff Data Engineer (f/m/d) is responsible for designing, building and scale Danaher’s data platform. The primary objective of this role is to build data assets using data & analytics strategies that align with business priorities and drive measurable business outcomes.
This position reports to the Sr. Director – Data Engineering and is part of the Core Technology & Planning.
This is a Danaher Corporate role, hosted by our Cytiva operating company in Kraków, and will be an on-site role (Kraków) or remote (Poland).
responsibilities :
Design, build and maintain trusted, scalable, secure, compliant, and reusable data products in Snowflake that support AI/ML models, executive dashboards, and cross-OpCo analytics.
Lead design and implementation of complex data initiatives spanning multiple teams.
Act as a technical owner for key data domains.
Set and reinforce best practices for data modelling, pipeline design, testing, and observability.
Drive continuous improvement by implementing automated data quality checks, scaling ingestion/onboarding for M&A integrations, and maintaining uptime, optimization, and IT General Controls.
requirements-expected :
Minimum 10 years experience in enterprise Data & Analytics.
Design and build complex Snowflake-based pipelines leveraging Matillion and dbt.
Strong understanding of CI/CD practices, DevOps.
Build and manage complex ETL/ELT workflows that extract, transform, and load data for downstream analytics and reporting.
Deep expertise with modern data technologies (Snowflake, BigQuery, Databrikcs, Azure Fabric/Synapse, Airflow, Spark,etc.)
Hands-on experience with cloud data ecosystems (AWS, Azure) designing high-volume, high-availability data pipelines.
Effective communication skills and ability to influence cross-functional stakeholders.
Ability to travel to Washington DC and global Danaher sites, up to 10%
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
