Bayer
From Bayer's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
If you want your work to count and the room to become your best, you'll find it here.
At Bayer, we believe work should matter. Every day, our teams push toward a future where "Health for all, Hunger for none" is within reach, and every role, from the lab to the field to the boardroom, helps us get there. We give people the ownership to shape outcomes, the support to grow through new skills and experiences, and a global community where different perspectives are valued. If you want your work to count and the room to become your best, you'll find it here.
Senior Data Engineer
At Bayer, we are committed to transparency, equal pay for equal work or work of equal value, and objective reward practices in line with EU and local regulations. The minimum monthly gross compensation for this role is 20 240 PLN, with final pay determined based on objective factors such as experience, qualifications, scope of responsibility, and internal alignment.
This position is eligible for variable pay components, such as performance‑based bonuses, awarded in accordance with the applicable employee group, role scope, and compensation structure.
In addition, Bayer offers a competitive and holistic benefits package, including:
Medical care above statutory requirements
Flexible benefits supporting leisure, and well‑being/sports programs
Life, accident, and disability insurance through group coverage
Employer‑supported pension plans with regular company contributions
Home office allowance to support hybrid or remote work
Company car provided (as a working Benefit)
Extra Paid Holidays
Benefits may vary depending on country, role, and employment conditions.
Senior Data Engineer (CDL)
As a Senior Data Engineer, you are part of Bayer's Data & AI Team with a focus on creating data solutions that provide timely, high-quality data to scientists, analysts, and AI agents. You will closely collaborate with experts from business and IT to design, implement and operate reliable GxP-validated data pipelines that enable timely and secure access to high-quality data for clinical studies in our Clinical Data Lakehouse, combining a solid understanding for the clinical data flow with excellent technical and conceptual skills.
Lead the development and operation of reliable data pipelines to store, transform, share and analyze clinical data, enabling an efficient clinical dataflow in compliance to legal and regulatory requirements.
Collaborate closely with relevant stakeholders in an agile setup to capture, specify and address data-related requirements and dependencies to ensure a fit-for-purpose technical implementation in a healthy data ecosystem.
Actively exchange with peers, embracing and applying best-practices to maintain a coherent, consolidated and scalable data landscape.
Contribute to the design and implementation of integration patterns, FAIR data principles and semantics to enable efficient, compliant, and secure data consumption by humans, systems, and AI agents within and beyond the primary data context.
Collaborate with infrastructure experts to ensure a robust, efficient, secure and fit-for-purpose setup, leveraging infrastructure-as-code and composable architecture.
Mentor less-experienced collagues and uphold high standards in requirements specification, engineering practices, code review, testing, and documentation
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
Proficiency with Databricks, including DBX Asset Bundles, Lakeflow Jobs, Unity Catalog, Access control and governance model and Databricks CLI
Experience with API design patterns and Ability to integrate data from source systems using various interface patterns, such as OpenSharing/Delta Sharing, Iceberg-Sharing, ODBC, GraphQL, OData, REST, or event streaming
Strong engineering skills (data engineering, software engineering, or cloud engineering)
Proficiency in Python programming, especially PySpark and Kapitan
Experience in Git, including Github Actions, CI/CD Pipelines (declarative YAML), Branching strategies, and trunk-based development
Understanding of data security principles and practices
Strong analytical and communication skills
Good communication and collaboration abilities to work independently in a self-organized team
High level of accuracy and attention to detail
Experience with GxP validation and Computerized Systems Validation
Hands-on experience with Infrastructure-as-code, ideally Terraform on AWS
In-depth knowledge of FAIR Data Principles, Linked Data principles, and Data Mesh architecture concepts, with demonstrated ability to apply them in practice
Experience with semantic layer concepts in modern data platforms such as Databricks, Snowflake, or Microsoft Fabric
Experience designing and implementing Model Context Protocol (MCP) servers
Hands-on experience with GraphRAG solution design and implementation
Knowledge of data privacy regulations (e.g., GDPR, CCPA)
Cloud engineering experience (e.g. AWS, Azure)
Knowledge in the pharmaceutical domain (e.g. LOINC, SNOMED CT, omics, targets, assays, clinical studies, RWE, etc.)
YOUR APPLICATION
Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.
Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.
Bayer offers the possibility of working in a hybrid model. We know how important work-life balance is, so our employees can work from home, from the office or combine both work environments. The possibilities of using the hybrid model are each time discussed with the manager. Bayer respects and applies the Whistleblower Act in Poland.
Poland : Mazowieckie : Warszawa
PH DS&AI
894941
Poland : Mazowieckie : Warszawa
PH DS&AI
894941
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