mid Data Engineer

You will join an engineering team responsible for building modern cloud data lake / data platform solutions. Tools like Databricks, cloud-native services, and CI/CD pipelines will be your daily drivers. Expect a wide variety of projects, support from exceptional engineers, and a culture of knowledge sharing, openness, and practical growth in your chosen direction.

• 2+ years of experience as a Data Engineer or in a similar data engineering-focused role.
• 1+ year of experience working with cloud platforms (Azure preferred, AWS or GCP also welcome).
• 2+ years of Python experience with strong coding skills and confidence in writing clean, production-ready code.
• 2+ years of SQL experience 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.

Nice to have:

• Airflow
• MLOps
• Azure DevOps Server

• 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.