Data Engineer

Quick Facts

• Role: Data Engineer

• Focus: SQL-based data solutions on Databricks for analytics

• Team: Collaborates with data engineers and analysts

Description

Develop and manage SQL-based data pipelines and transformation logic on the Databricks platform to support business analytics needs. Design and optimize star and snowflake schemas, write advanced SQL for reporting/aggregation/validation, and work with structured and semi-structured data from multiple sources. Improve data quality, performance, and maintainability through robust modeling and transformations.

Responsibilities

• 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

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, particularly 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 in Poland