Staff Data Engineer (f/m/d) - Kraków (onsite) OR Poland (remote) job opportunity at Danaher.



DatePosted 10 Days Ago bot
Danaher Staff Data Engineer (f/m/d) - Kraków (onsite) OR Poland (remote)
Experience: General
Pattern: full-time
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degreeAssociate
loacation Krakow, Poland, Poland
loacation Krakow, Poland....Poland

Bring more to life. At Danaher, our work saves lives. And each of us plays a part. Fueled by our culture of continuous improvement, we turn ideas into impact – innovating at the speed of life. Our 63,000+ associates work across the globe at more than 15 unique businesses within life sciences, diagnostics, and biotechnology. Are you ready to accelerate your potential and make a real difference? At Danaher, you can build an incredible career at a leading science and technology company, where we’re committed to hiring and developing from within. You’ll thrive in a culture of belonging where you and your unique viewpoint matter. Learn about the Danaher Business System which makes everything possible. 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).   In this role, you will have the opportunity to:   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.    The essential requirements of the job include:    Extensive 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.    Travel, Motor Vehicle Record & Physical/Environment Requirements:   Ability to travel to Washington DC and global Danaher sites, up to 10%    It would be a plus if you also   possess   previous   experience in:   Cloud data architecture certifications.  K nowledge of data governance, metadata management, and data quality frameworks.   Experienced in Fabric/Databricks   lakehouse   solutions leveraging   PySpark   Notebooks.  Building Power BI Semantic Models and Dashboards.    #LI-KK1   Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit www.danaher.com .

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