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

Home Jobs In Poland Tag: Job Staff Data Engineer (Reporting & Analytics) (f/m/d) - Kraków (onsite) OR Poland (remote) position at Danaher


DatePosted 19 Days Ago bot
Danaher Staff Data Engineer (Reporting & Analytics) (f/m/d) - Kraków (onsite) OR Poland (remote)
Experience: 8-years
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 (Reporting & Analytics)  (f/m/d) is responsible   for  designing and improving Danaher’s data management   & analytics function. The primary   objective   of this role is to   build   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:    Data Engineer   builds and   maintains   analytics-ready datasets   optimized   for reporting and dashboards   for consumption by all Danaher Opcos.  Enable self-service access through semantic layers, catalogues, and APIs, empowering data scientists, analysts, and business teams to consume data without deep pipeline knowledge.  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.     The esse ntial requirements of the job include:  Minimum   8   years' experience   in analytics   engineering, reporting, or business intelligence.  Advanced   proficiency   in   PySpark   for advanced data processing tasks.  Hands-on experience delivering Fabric/Databricks   lakehouse   solutions with medallion architecture,   leveraging   Dataflow Gen2, Fabric Pipelines, and   PySpark   Notebooks in   OneLake/Lakehouse.  Strong knowledge of Power BI architecture, including   DirectQuery, Composite Models, Row-Level Security (RLS), Object-Level Security (OLS), Dashboards.   Build and manage complex ETL/ELT   workflows that extract, transform, and load data for downstream analytics and reporting.  Strong understanding of CI/CD practices, DevOps.    Hands-on experience with cloud   data   ecosystems   (AWS, Azure)   designing high-volume, high-availability data pipelines.        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:    Experience with modern data warehouses (Snowflake,   BigQuery, Redshift).  Familiarity with cloud data platforms (AWS, Azure, GCP).  K nowledge of data governance, metadata management, and data quality frameworks.    ​ #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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