We are looking for an experienced and proactive Senior Data Engineer to join our Data&AI tribe! Here, you will have the opportunity to work on diverse projects using modern data technologies. You won't get bored: exciting challenges await, as our clients come from the telecommunications, automotive, healthcare, and public sectors.
If you love working with modern data infrastructures—especially in Databricks and MS Fabric environments—and value writing high-quality code, we would love to have you on the team!
What you will do:
- Build Data Pipelines: Design, develop, and operate scalable data ingestion pipelines using Databricks and Azure services.
- Lakehouse Management: Structure and maintain Bronze and Silver Delta Lake datasets, providing "transformation-ready" data for analysts and downstream modeling.
- Python-based Development: Build reusable, production-ready Python frameworks and components (modules, packaging, versioning).
- Apply Best Practices: Drive CI/CD workflows, automated testing (unit/integration), and code quality standards in your daily work.
- Reliability & Monitoring: Ensure transparency of data flows (logging, metrics, alerting) and proactively troubleshoot production issues.
- Teamwork & Mentoring: Collaborate closely with the data team (architects, analysts), foster a culture of knowledge sharing, and mentor fellow engineers.