Job description

Hadoop Data Engineer (GCP, Spark, Scala) – Kraków / Hybrid

We are looking for an experienced Hadoop Data Engineer to join a global data platform project built in the Google Cloud Platform (GCP) environment. This is a great opportunity to work with distributed systems, cloud-native data solutions, and a modern tech stack. The position is based in Kraków (hybrid model – 2 days per week in the office).

Your responsibilities:

• Design and build large-scale, distributed data processing pipelines using Hadoop, Spark, and GCP
• Develop and maintain ETL/ELT workflows using Apache Hive, Apache Airflow (Cloud Composer), Dataflow, DataProc
• Work with structured and semi-structured data using BigQuery, PostgreSQL, Cloud Storage
• Manage and optimize HDFS-based environments and integrate with GCP components
• Participate in cloud data migrations and real-time data processing projects
• Automate deployment, testing, and monitoring pipelines (CI/CD using Jenkins, GitHub, Ansible)
• Collaborate with architects, analysts, and product teams in Agile/Scrum setup
• Troubleshoot and debug complex data logic at the code and architecture level
• Contribute to cloud architecture patterns and data modeling decisions

Must-have qualifications:

• Minimum 5 years of experience as a Data Engineer / Big Data Engineer
• Hands-on expertise in Hadoop, Hive, HDFS, Apache Spark, Scala, SQL
• Solid experience with GCP and services like BigQuery, Dataflow, DataProc, Pub/Sub, Composer (Airflow)
• Experience with CI/CD processes and DevOps tools: Jenkins, GitHub, Ansible
• Strong data architecture and data engineering skills in large-scale environments
• Experience working in enterprise environments and with external stakeholders
• Familiarity with Agile methodologies such as Scrum or Kanban
• Ability to debug and analyze application-level logic and performance

Nice to have:

• Google Cloud certification (e.g., Professional Data Engineer)
• Experience with Tableau, Cloud DataPrep, or Ansible
• Knowledge of cloud design patterns and modern data architectures

Work model:

• Hybrid – 2 days per week from the Kraków office (rest remotely)
• Opportunity to join an international team and contribute to global-scale projects

To learn more about Antal, please visit www.antal.pl