Data Engineer

Technologies we use

About the project

Your responsibilities

• Focus on building and optimizing data platforms, with some exposure to analytics.
• Design and build scalable ETL / ELT pipelines
• Develop data transformations (SQL / Python / dbt)
• Model data using best practices
• Optimize performance and cost of data processing
• Ensure data quality (testing, validation, monitoring)
• Support cloud migration initiatives
• Collaborate with analytics teams to deliver clean, reliable datasets
• Support analytics teams in building dashboards and reporting layers

Our requirements

• Strong experience with Databricks (Spark)
• Advanced SQL skills (including query optimization)
• Experience with Python
• Experience with Snowflake
• Experience with BI tools (Power BI / Tableau)
• Experience with version control systems (Git)
• Experience with AWS or Azure
• Good knowledge of English (minimum C1 level)

Optional

• Experience with Apache Airflow, Dagster, or similar orchestration tools
• Experience with Azure AI Search or AWS OpenSearch

This is how we organize our work

This is how we work

What we offer

• Flexible working hours and approach to work: fully remotely, in the office or hybrid
• Professional growth supported by internal training sessions and a training budget
• Solid onboarding with a hands-on approach to give you an easy start
• A great atmosphere among professionals who are passionate about their work

Benefits