At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

Senior Data Engineer 

We are looking for a Senior Data Engineer for Bayer's Data & AI Team!

As a Senior Data Engineer, you will be a part of Bayer's Data & AI Team with a focus on developing and operating reliable data pipelines that enable timely access to high-quality data assets. You will be part of a dynamic team of technical experts, working hand-in-hand with subject matter experts, data product managers, semantic experts and data scientists to create data products that help Bayer to accelerate time-to-market, drive innovation and enhance efficiency across the whole pharma value chain.

YOUR TASKS AND RESPONSIBILITIES:

• Work in an agile team to develop and operate reliable data pipelines from source to product to ensure compliant access to data in context of FAIR data product,
• Collaborate closely with relevant stakeholders to capture data-related business requirements and translate them into efficient technical solutions to ensure a fit-for-purpose technical implementation,
• Work with architects and subject matter experts to capture and manage dependencies between data solutions to ensure a healthy data ecosystem,
• Actively exchange with peers to embrace and apply best-practices and standard technical patterns and solutions to maintain a consolidated and scalable data landscape,

• Mentor junior engineers and uphold high standards in code review, testing, and documentation.

WHO YOU ARE:

• Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field,

• 5+ years of experience in data engineering, data operations, or a similar role, delivering production-grade data pipelines and services,
• Strong ownership of deliverables, high standards for code review and peer mentorship, and a commitment to clear documentation, metadata/lineage publishing, and sustainable data engineering standards and practices,
• Excellent analytical and problem-solving skills,
• Good communication and collaboration abilities to work independently in a self-organized team,

• Willingness and ability to learn and integrate new tools and technologies to enhance work efficiency and effectiveness,

• Understanding of Data Product concept and respective lifecycle management, including data quality key dimensions and tools, such as Great Expectations, dbt tests, or Elementary,
• Hands-on proficiency in SQL, Python, PySpark, or Spark to build scalable data pipelines and optimize processing using modern data processing frameworks, such as Databricks or Snowflake,
• Proven experience with ETL/ELT tools such as AWS Glue, dbt core, or Pentaho,
• Ability to integrate data from source systems using various interface patterns, such as ODBC, GraphQL, OData, REST, or event streaming,
• Good experience with cost and performance optimization and FinOps practices for cloud data systems, such as Snowflake or Databricks, ensuring reliable operations and scalable data delivery in production environments,
• Understanding of modern lakehouse table formats (Apache Iceberg, Delta Lake) and ability to design, build, maintain and document conceptual, logical, and physical data models,
• Understanding of data architecture patterns, such as data hub, mesh, or fabric,
• Experience with GxP and computerized system validation is a plus.

You feel you do not meet all criteria we are looking for? That doesn’t mean you aren’t the right fit for the role. Apply with confidence, we value potential over perfection!

WHAT DO WE OFFER:

• A flexible, hybrid work model 
• Great workplace in a new modern office in Warsaw
• Career development, 360° Feedback & Mentoring programme
• Wide access to professional development tools, trainings, & conferences
• Company Bonus & Reward Structure 
• Increased tax-deductible costs for authors of copyrighted works
• VIP Medical Care Package (including Dental & Mental health)
• Holiday allowance (“Wczasy pod gruszą”)
• Life & Travel Insurance
• Pension plan
• Co-financed sport card - FitProfit
• Meals Subsidy in Office 
• Budget for Home Office Setup & Maintenance
• Access to Company Game Room equipped with table tennis, soccer table, Sony PlayStation 5 and Xbox Series X consoles setup with premium game passes, and massage chairs
• Tailored-made support in relocation to Warsaw when needed
• Please send your CV in English 

WORK LOCATION: WARSAW AL. JEROZOLIMSKIE 158