Billennium · Poland
Role Summary
Billennium is a global technology company with over 20 years of experience, committed to innovation and empowering businesses. As an employer, we offer a supportive, growth-focused environment where collaboration and creativity thrive. Join us to shape the future of technology together!
Our client is a global healthcare organization operating across diagnostics, pharmaceuticals, and digital health solutions. The company is focused on building scalable data and AI products that support strategic decision-making and innovation within a global business function.
What You Will Do
- Design, build, and maintain scalable data pipelines supporting enterprise-grade data products and AI solutions.
- Develop and optimize solutions using SQL and Python.
- Design conceptual, logical, and physical data models aligned with business and analytical needs.
- Build and maintain semantic layers, ontologies, taxonomies, and knowledge graphs.
- Develop data products and APIs enabling analytics, AI/ML, LLM, and agentic AI use cases.
- Ensure data quality, governance, lineage, and metadata management across data platforms.
- Design, implement, and maintain cloud-based and containerized data solutions.
- Provide technical leadership within the Data Engineering domain and promote engineering best practices.
- Drive architectural decisions and contribute to the definition of technical standards.
- Support strategic data and AI initiatives in collaboration with business stakeholders, Product Owners, and cross-functional teams.
Requirements
- Minimum 7 years of professional experience in Data Engineering.
- Proven experience leading technical initiatives and projects.
- Hands-on experience designing and scaling cloud-based data platforms on AWS.
- Strong proficiency in SQL and Python.
- Advanced knowledge of data modeling, including conceptual, logical, and physical models.
- Experience with data quality management, data integration, data transformation, and Data Governance practices.
- Experience working with Knowledge Graphs, Semantic Models, and Ontologies.
- Experience building or supporting AI/ML, LLM, and agentic AI pipelines.
- Experience with containerization and orchestration of data environments.
- Strong communication skills with both business and technical stakeholders.
- Business-level English proficiency (minimum B2/C1).
Nice-to-have
- Experience in the Healthcare or Life Sciences industry.
Benefits
- Comprehensive benefits - enjoy Udemy for Business, private medical care, Multisport card, veterinary package, language lessons, and shopping vouchers.
- Career growth - access opportunities for professional development and learning, including perks related to our official partnerships with global IT giants: Microsoft, AWS, Snowflake, Salesforce & more.
- Global collaboration - work with a diverse, international team. Innovative environment - be part of a forward-thinking and growth-oriented workplace.
- Engaging community – Work with passionate professionals and participate in team-building events, hackathons, and CSR initiatives to make an impact beyond work.
- Team-building events including our company tradition (annual company event in Mazury).
- A pleasant surprise to start your journey with us in the form of a welcome pack.