Data Engineer Hadoop

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