Senior Data Engineer

Quick Facts

• Role: Senior Data Engineer (SQL on Databricks)

• Location: Poland (Remote)

• Team: Collaborates with data engineers and analysts

Description

Enhance the organization’s analytical capabilities by developing and managing SQL-based data solutions on the Databricks platform. Build robust data modeling and transformation processes that align with business needs.

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

• Improve data quality, performance, and maintainability

Requirements

• 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 (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; collaborative data team environment

• Opportunity to advance analytics through scalable data modeling and transformation