About this role

Big Data Engineer with Spark/Scala (f/m/x) Sii Polska Daily tasks: - Design, develop, and maintain scalable data pipelines and processing systems - Build efficient solutions for collecting, transforming, and integrating data from diverse sources - Translate business and analytical needs into technical requirements and data models - Optimize data workflows to ensure high performance, reliability, and resilience - Develop and maintain Spark/Scala-based jobs for data ingestion and transformation - Participate in code reviews and contribute to continuous improvement initiatives - Work collaboratively within an Agile (Scrum) environment, delivering business value in short iterations - Follow best engineering practices such as TDD, BDD, clean coding, and DevOps principles - Create and maintain technical documentation and test plans Musts: Apache Spark, SQL, Scala 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) Residence in Poland Nice-to-have requirements Banking sector experience Join a team building a modern data platform that supports key business and analytical processes in an international environment.

We are looking for experienced data engineers who want to work with Big Data technologies, develop scalable solutions, and have a real impact on the architecture and development of the platform.

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