Senior Data Engineer
CRIF, a prestigious and innovative international group specializing in informational solutions, decision models, outsourcing, software, and consulting services to support banks, financial companies, insurance companies, utilities, and telecommunications companies, is seeking a Senior Data Engineer. The successful candidate will join our “Advanced Analytics Global” area, the centre of excellence at CRIF that combines expertise in Data Science, Data Engineering, and Generative AI.
Profile
- PhD or Master’s Degree in Computer Engineering, Artificial Intelligence, Machine Learning, Data Science, Mathematics, or similar.
- 3+ years of experience in Data Engineering / AI fields
- Strong problem-solving skills and teamwork capabilities
- Strong communication skills
Hard Skills
- Excellent knowledge in Python programming (focus on production ready framework and tools : e.g. uv, ruff)
- Excellent knowledge of software engineering best practices (OOP, SOLID)
- Solid experience in using cloud services and platforms (AWS and Databricks preferred)
- Solid experience with orchestration tools (Dagster, Airflow, dbt)
- Solid experience with code versioning tools (in particular git)
- Familiarity with API design
- Familiarity with DevOps best practices and CI / CD pipeline management
- Familiarity with Infrastructure as Code (IaC) deployment
- Knowledge of MLOps / LLMOps
- Knowledge of major web frameworks (FastAPI) and microservices architectures
Nice to have
- Experience with Data Governance concepts (Data Lineage, Data Quality)
- Knowledge of ML / DL libraries
- Experience with agent protocols (e.g. MCP, A2A, ACP) and agentic design patterns
- Familiarity with vector databases (e.g., Pinecone, Qdrant) and integration with AI systems, for example RAG
- Contributions in Open Source projectsBasic knowledge of other programming languages (Scala, Rust)
Location
Milan or Bologna
We offer a safe and inclusive environment where colleagues are encouraged to think outside the box.
Crif is committed to creating a diverse, inclusive work environment and promoting equal opportunities during the employee life cycle.
We aim to attract and retain the best people and embracing gender, age, culture, religion and disability diversity.