Data Engineer

• Solid experience with SQL including analytical functions, joins, subqueries, CTEs, and window functions.
• Practical experience with Databricks, Spark, SQL, or similar distributed SQL engines.
• Strong understanding of data modeling principles, particularly star and snowflake schemas.
• Experience with relational databases such as PostgreSQL or SQL Server.
• Familiarity with ETL/ELT concepts and best practices.
• Ability to work independently and collaboratively within a data team.

Nice to have:

• Exposure to dbt, Delta Lake, or data warehousing concepts.
• Experience with cloud platforms such as Azure, GCP, or AWS.

• Develop and maintain SQL-based data pipelines and transformation logic on Databricks.
• Design, implement, and optimize star and snowflake schemas for analytical workloads.
• Write and tune advanced SQL queries for reporting, aggregation, and data validation.
• Collaborate with data engineers and analysts to ensure data models meet business needs.
• Work with structured and semi-structured data from multiple sources.
• Contribute to improving data quality, performance, and maintainability.

Location: Poland, Remote