Data Engineer

Quick Facts

• Role: Data Engineer

• Work model: Kraków, hybrid (6–8 days/month in office)

• Contract type: B2B

• Rate: 160 PLN/h net + VAT (negotiable)

Description

You will design, build, and maintain scalable data pipelines and frameworks, integrating systems and REST APIs while working with cloud and data fabric solutions. Responsibilities include developing data engineering solutions in Scala, Python, and Java, implementing and operating Apache Airflow DAGs (scheduling, monitoring, troubleshooting), and ensuring quality, performance, and reliability. You’ll collaborate with Data Architects, Software Engineers, and platform teams to evolve the overall data fabric architecture.

Responsibilities

• Design, build, and maintain data pipelines and data engineering frameworks

• Develop solutions in Scala, Python, and Java

• Work with Apache Airflow (DAGs, scheduling, monitoring, troubleshooting)

• Integrate platforms, systems, and REST APIs

• Work with cloud solutions and contribute to the development of data fabric architecture

• Ensure quality, performance, and reliability

• Follow best practices: Git, testing, code review, CI/CD

• Collaborate with Data Architects, Software Engineers, and platform teams

Requirements

• Experience in Data Engineering / Software Engineering

• Excellent knowledge of Scala, Python, Java, and SQL

• Experience building data pipelines and integrating systems

• Practical knowledge of Apache Airflow

• Knowledge of REST APIs

• Experience with cloud platforms and cloud-native engineering

• Knowledge of Git, automated testing, and CI/CD

• Ability to solve complex technical problems

Benefits

• Hybrid work model with partial office presence in Kraków

• B2B compensation: 160 PLN/h net + VAT (rate negotiable)

• Travel cost reimbursement for candidates outside Kraków

• Opportunity to work on modern data engineering solutions and cloud/data fabric architecture