Data Engineer

We are seeking an experienced Data Engineer to join our team.

What you'll need to know and do:

• Develop and maintain a Python/FastAPI microservices system running on Kubernetes, backing a production ETL pipeline (MongoDB → Kafka → Pandas → IBM Cloud Object Storage)
• Own the full lifecycle: API design, schema migrations, and infrastructure debugging under real production pressure.
• API design and implementation (FastAPI, SQLAlchemy/SQLModel, PostgreSQL)
• ETL pipelines using fan-out/fan-in patterns, data validation (Pandera)
• Concurrency control in distributed processing (TTL index locking when scaling multi-pod)
• Infrastructure debugging: Kafka partition imbalance, OOM kills across pods, Helm/K8s deployment failures, Vault auth, proxy/urllib3 routing issues
• Schema migrations and data-conflict resolution (constraint violations, ON CONFLICT patterns)
• MongoDB and PostgreSQL interactions in production, with SQLite-compatible CI tests.

Hybrid work with 3 days in the office in either Bucharest/Timisoara/Cluj/Brasov

Why should you join us?

• We have a solid company (projects that last minimum one year), and employees stay with us on average for about 10 years
• We have many projects (50+) and lots of career opportunities. After you finish your first project, for the next one you can choose to master the skills that you already know, or learn new technologies on the next one. This way, you do not have to change the company, just the project
• Reimbursement of agreed certifications
• Private medical subscription
• Team buildings.