Job description

📌 Data Engineer

📍 Kraków (Hybrid: 2 days/week in office) | Full-time | B2B Contract

We are looking for an experienced Data Engineer to join a global data & analytics team focused on building a modern data ecosystem. The role involves designing and implementing scalable data solutions that power business insights and decision-making. You’ll work in a collaborative Agile/DevOps environment alongside data scientists, analysts, and engineers.

What You’ll Do:

• Develop and maintain data pipelines using tools like Python, Java, Scala, PySpark, Hive
• Migrate existing data solutions from Hadoop to Google Cloud Platform (GCP), including BigQuery, DataProc
• Build and maintain reliable, scalable, and secure data products and microservices
• Collaborate with business analysts to understand requirements and translate them into technical solutions
• Support production systems, troubleshoot issues, and ensure high availability
• Participate in Agile ceremonies, design discussions, and peer code reviews

What You Bring:

• Solid experience in software/data engineering within large-scale environments
• Strong programming skills in Java, Scala, Python, and working knowledge of SQL
• Familiarity with big data ecosystems (Hadoop, Spark, Hive)
• Experience with cloud platforms, especially GCP (BigQuery, DataProc preferred)
• Understanding of data integration, data modeling, and metadata management
• Comfortable working in Agile and DevOps cultures with CI/CD pipelines
• Effective communicator with the ability to work in distributed, cross-functional teams

Nice to Have:

• Experience with Airflow, data warehousing, and scheduling tools
• Exposure to Agile, Scrum, and DevOps methodologies
• Enthusiasm for innovation, clean code, and automation
• Ability to mentor junior engineers and contribute to best practices