2 days ago
Warsaw, PolandSenior
Responsibilities
- Lead the development and operation of reliable data pipelines for storing, transforming, sharing, and analyzing clinical data.
- Collaborate with stakeholders to capture data requirements, dependencies, and fit-for-purpose technical implementations.
- Design and implement integration patterns, FAIR data principles, and semantic solutions for secure data consumption by people, systems, and AI agents.
- Work with infrastructure experts on infrastructure-as-code and composable architecture to maintain robust and efficient environments.
- Mentor less-experienced colleagues and uphold standards for requirements, engineering practices, code review, testing, and documentation.
- Maintain compliant, scalable, and high-quality data solutions for clinical studies in the Clinical Data Lakehouse.
Requirements
- Bachelor’s degree in computer science, data science, information technology, or a related field.
- At least 5 years of experience in data engineering, data operations, or a similar role delivering production-grade data pipelines and services.
- Proficiency with Databricks, including DBX Asset Bundles, Lakeflow Jobs, Unity Catalog, access control and governance, and Databricks CLI.
- Experience designing APIs and integrating source-system data through interfaces such as OpenSharing/Delta Sharing, Iceberg-Sharing, ODBC, GraphQL, OData, REST, and event streaming.
- Strong data, software, or cloud engineering skills, including Python, PySpark, and Kapitan.
- Experience with Git, GitHub Actions, declarative YAML CI/CD pipelines, branching strategies, and trunk-based development.
- Understanding of data security principles, documentation, metadata and lineage publishing, and sustainable data engineering practices.
- Strong analytical, communication, collaboration, accuracy, and attention-to-detail skills.
- Preferred experience includes GxP and Computerized Systems Validation, Requirements Engineering, Terraform on AWS, FAIR and Linked Data principles, Data Mesh, semantic layers, MCP servers, GraphRAG, GDPR, CCPA, AWS or Azure, and pharmaceutical-domain data.
Benefits
- Minimum monthly gross compensation is 20 240 PLN, with final pay based on experience, qualifications, responsibility scope, and internal alignment.
- Eligible for variable pay components such as performance-based bonuses.
- Medical care above statutory requirements.
- Flexible benefits supporting leisure, well-being, and sports programs.
- Group life, accident, and disability insurance.
- Employer-supported pension plans with regular company contributions.
- Home office allowance and hybrid work options.
- Company car provided as a work benefit.
- Extra paid holidays.
- Hybrid work is available from home, the office, or a combination, as agreed with the manager; the position is located in Warsaw, Poland.
Categories
Data Engineering
About Bayer
Bayer is a global life-sciences company that develops and sells prescription pharmaceuticals, consumer health brands (including Aspirin), and agricultural seeds, traits, and crop-protection products, plus digital farming tools, for patients, consumers, and farmers. It is a public company founded in 1863 and headquartered in Leverkusen, Germany. Bayer acquired Monsanto in 2018, making Crop Science one of its three core businesses alongside Pharmaceuticals and Consumer Health.