Big Data Engineer with Spark/Scala (f/m/x)
Summary
Designs and builds scalable big-data pipelines using Spark and Scala, integrating Python, Airflow, and DevOps practices to process and analyze large datasets.
- Minimum 5 years of experience in Big Data Engineering
- Practical knowledge of Spark, SQL, and Java or Scala
- Experience with additional technologies: Python, Airflow, Git, CI/CD, APIs, microservices, DevOps
- Analytical thinking and problem-solving skills
- Independence, proactive attitude, and good organization of work
- Ability to collaborate in an international environment
- Very good command of Polish and English
- Willingness to work in a hybrid model (2–3 days per week in the office)