Your responsibilities

Building and launching data pipelines and data models in cloud environments (Azure is our main ecosystem).
Close collaboration with clients - gathering requirements, discussing solutions, communicating progress clearly.
Implementing best practices in data engineering: data integrity, quality checks, testing, documentation, and data lineage.
Optimizing existing analytical solutions for performance, cost efficiency, and reliability.
Contributing to cloud architecture design and standards (security, governance, scalability).
Working with CI/CD, automation, monitoring, and production-ready processes (DataOps).
Supporting integrations across BI/ML/DevOps teams.

Our requirements

2+ years of experience as a Data Engineer or in a similar data engineering-focused role.
1+ year of experience working with cloud platforms - we use Azure, but AWS or GCP experience is also welcome.
2+ years of Python - strong coding skills and confidence in writing clean, production-ready code.
2+ years of SQL and hands-on experience with relational databases (SQL Server, PostgreSQL, or similar).
Understanding of DWH data modeling and ETL/ELT development.
General awareness of cloud architecture, networking, and security concepts.
Creativity, openness to innovation, and a willingness to grow in dynamic, fast‑evolving projects.

Access to top e‑learning platforms and development budget
Real ownership opportunities - expand your scope, drive solutions, lead initiatives; most of our Leads are promoted internally
Long-term collaboration via B2B - we value lasting partnerships
Remote-first
Flexible hours