Data Engineer

Quick Facts

• Role: Data Engineer (Remote, Poland)

• Team: Works with data engineers and analysts

Description

You will develop and maintain SQL-based data pipelines and transformation logic on the Databricks platform. The role focuses on robust data modeling and optimization for analytical workloads, including writing advanced SQL for reporting, aggregation, and data validation.

Responsibilities

• Develop and maintain SQL-based data pipelines and transformation logic on Databricks

• Design, implement, and optimize star and snowflake schemas

• Write and tune advanced SQL queries for reporting, aggregation, and data validation

• Collaborate with data engineers and analysts to ensure models meet business needs

• Work with structured and semi-structured data from multiple sources

• Improve data quality, performance, and maintainability

Requirements

• Solid experience with SQL (analytical functions, joins, subqueries, CTEs, window functions, etc.)

• Practical experience with Databricks, Spark, SQL, or similar distributed SQL engines

• Strong understanding of data modeling principles, especially star and snowflake schemas

• Experience with relational databases (e.g., PostgreSQL, SQL Server, or similar)

• Familiarity with ETL/ELT concepts and best practices

• Ability to work independently and collaboratively within a data team

Benefits

• Remote work (Poland)

• Collaboration within a data team of engineers and analysts