Senior Databricks Data Engineer

Quick Facts

• Role: Senior Databricks Data Engineer

Description

Design and build data pipelines and reporting datasets using Databricks, PySpark, and SQL. Maintain data models, ETL/ELT processes, and optimize data quality, performance, and scalability across the platform. Collaborate with business users and engineering teams, while supporting cloud data architecture, CI/CD, and data governance.

Responsibilities

• Design and build data pipelines with Databricks, PySpark, and SQL

• Create and maintain data models, ETL processes, and reporting data sets

• Optimize data quality, performance, and scalability

• Collaborate with business users, analysts, and developers to deliver data-driven solutions

• Support cloud data architecture, CI/CD, and data governance initiatives

• Mentor junior engineers and promote engineering best practices

Requirements

• Several years of experience working with Databricks and PySpark

• Advanced SQL and expert knowledge of data warehouses

• Experience with Azure Data Lake, Azure Data Factory, or similar cloud data technologies

• Knowledge of data modeling, ETL/ELT, and performance optimization

• Experience in Agile delivery teams

• Ability to work in a hybrid model (2 days/week in the Wrocław or Poznań office)

• English proficiency at B2 or C1 for smooth communication in an international environment

• Preferred availability ASAP; acceptable notice up to one month, with effect at month-end

Benefits

• Long-term engagement with pay 130–160 PLN net/hour + VAT

• Support for setting up and running a business (for candidates without prior experience)

• Efficient recruitment process: two technical interviews with managers (online, up to 1 hour each)

• Hybrid work model: 2 days/week in the Wrocław or Poznań office

• Benefits: private medical care, Multisport card

• Modern equipment provided with software and configuration