We are looking for an experienced Big Data Engineer to join our data engineering team responsible for creating and evolving a next-generation data platform. This platform plays a key role in supporting a variety of business functions and engaging with multiple stakeholders across the organization.Your 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 Requirements Min. 5 years of professional experience in Big Data engineering, preferably in the banking or financial services sector Proficiency in Spark, Scala, and SQL Working knowledge of additional tools and technologies such as Python, Java, Airflow, DevOps, CI/CD pipelines, APIs, microservices, and Git Excellent analytical and troubleshooting skills Strong communication and teamwork abilities Proactive, self-driven approach to work Ability to collaborate effectively with international teams across different time zones Solid organizational and prioritization skills Fluency in English and Polish, both spoken and written Open to a hybrid work model (2-3 days per week on-site) Residing in Poland required