About the role
We are looking for a Data Engineer to join the Data Foundation team, responsible for building scalable, governed, and AI-ready data platforms.
The role focuses on delivering reliable data pipelines, developing governed data products, and enabling analytics and AI use cases, including LLM and RAG-based solutions.
Your responsibilities
- Build and maintain scalable data pipelines (batch and near real-time)
- Design and implement medallion architecture (Bronze / Silver / Gold)
- Develop data products with schema validation, versioning, and governance standards
- Prepare datasets for analytics and AI use cases (including LLM grounding and RAG)
- Ensure data quality, monitoring, and observability
- Implement data governance (classification, ownership, lineage)
- Support embedding and retrieval pipelines for AI solutions where needed
- Contribute to CI/CD pipelines for data platform deployments
Your profile
- 3–7 years of experience in Data Engineering
- Strong skills in Python, SQL, PySpark
- Experience with ETL/ELT pipelines and data modeling
- Knowledge of distributed data processing systems
- Experience with Azure or equivalent cloud platforms
- Familiarity with lakehouse architectures (Databricks, Microsoft Fabric, Synapse)
- Understanding of data governance (PII, metadata, lineage)
- Experience with Git and CI/CD (Azure DevOps or GitHub Actions)
Nice to have
- Exposure to LLM / embeddings / RAG concepts
- Experience with vector search or Azure AI Search
- Knowledge of Semantic Kernel or LangChain
- Experience with streaming / event-driven pipelines
- API-based data ingestion experience
Your impact
- Stable, scalable data pipelines
- High-quality, trusted datasets
- Data products that are:
- Governed
- Discoverable
- AI-ready
What we offer
- Competitive pay with annual bonus
- Attractive benefits package including medical care, lunch/cafeteria card, life insurance and pension plan
- Opportunity to work with multiple stakeholders and receive strong professional support
- Environment that enables knowledge sharing and best practice exchange
- Ongoing development opportunities in a multinational environment supporting professional and personal growth
- Varied tasks and projects with clear ownership and impact
- Flexible working conditions – hybrid work model or remote work from Poland
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