PySpark Data Engineer

BraverIT; Kraków; On-site; PLN 120,000 - 150,000; Full time

Benefits offered by this job

Flexible working model

Support for professional growth

Exposure to international projects

Job summary

BraverIT is seeking a Data Engineer in Kraków to design and maintain scalable data solutions built on Databricks and Microsoft Azure. The role emphasizes developing data pipelines to support various business use cases. Candidates should have at least 3 years of experience in data engineering, with strong skills in PySpark and Azure services.

This position offers a flexible working model, opportunities for professional growth, and exposure to international projects.

Qualifications

• Minimum 3 years of experience in Data Engineering.
• Strong hands-on experience with PySpark (DataFrames, SparkSQL optimization, partitioning).
• Practical experience with Databricks and Azure Data Factory.

Responsibilities

• Design, build, and maintain scalable data pipelines.
• Develop data processing and transformation workflows.
• Ensure performance, reliability, and data quality across solutions.

Skills

Data Engineering

PySpark

Azure Data Factory

Power BI

Tools

Databricks

Azure SQL

Job description

We are looking for a Data Engineer to design and maintain modern data solutions built on Databricks, PySpark, and Microsoft Azure. The role focuses on developing scalable data platforms and supporting business use cases with reliable data pipelines.

Your responsibilities

• Design, build, and maintain scalable data pipelines
• Develop data processing and transformation workflows
• Support data ingestion from multiple sources into cloud environments
• Ensure performance, reliability, and data quality across solutions
• Collaborate with business and technical stakeholders to translate requirements into data solutions
• Contribute to documentation and continuous improvement of data processes
• Work in a distributed team environment, focusing on product and business goals

Our requirements

• Minimum 3 years of experience in Data Engineering
• Strong hands on experience with PySpark (DataFrames, SparkSQL optimization, partitioning)
• Practical experience with Databricks and Azure Data Factory
• Knowledge of Azure SQL and core Azure services (Storage Accounts, KeyVault, VNET, Application Gateway, Azure Portal)
• Experience working with Delta, Parquet, and CSV file formats
• Experience with CI/CD processes
• Ability to work independently and solve problems with minimal supervision
• Strong written and spoken English
• Experience with Power BI

What we offer

• Work on modern data solutions in Azure and Databricks environment
• Flexible working model and stable long term cooperation
• Exposure to international projects and stakeholders
• Support for professional growth and continuous learning