Senior Data Engineer (Big Data)

Contracting period: Long term project(1 year) Location: Hybrid (Poland) About the Role We are looking for an experienced Senior (Big) Data Engineer to join large-scale data platform initiatives for an international technology-driven organization. The company builds and operates high-volume, low-latency data platforms , processing large amounts of event data through modern batch and streaming architectures. This role is suited for a senior-level data engineer who enjoys working with distributed systems , event-driven data processing , and cloud-native technologies . The position requires fluency in Polish and location within Poland . Your Profile 6–8 years of hands-on experience in Data Engineering roles Experience with at least one major cloud platform (GCP, AWS, or Azure); willingness to work in a GCP-based environment (prior GCP experience is a plus) Strong production experience with Apache Spark , using Python / PySpark Hands-on experience with streaming and event-driven architectures , using technologies such as: Kafka Google Pub/Sub AWS Kinesis Azure Event Hubs Strong SQL skills , including data transformations, analytical queries, and performance optimization Nice-to-Have Skills Previous experience specifically in a Big Data Engineer role Background in JVM-based languages (Scala, Java, Kotlin) Familiarity with data lake or lakehouse architectures Experience implementing monitoring, observability, and data quality checks Exposure to high-throughput event processing systems Experience with CI/CD pipelines or Infrastructure-as-Code approaches Your Responsibilities Design, build, and maintain scalable batch and streaming data pipelines Develop, optimize, and operate Apache Spark jobs using PySpark Work with event-driven and streaming platforms to process high-volume datasets Perform advanced data transformations and analytics using SQL Improve the performance, reliability, and observability of data pipelines Collaborate with analytics, platform, and product teams to deliver end-to-end data solutions Participate in technical and architectural decision-making Take end-to-end ownership of data solutions, from design through production What You Can Expect Work on large-scale, data-intensive systems with real-world impact A technically challenging environment focused on distributed data processing Collaboration with cross-functional teams in a modern data platform ecosystem Opportunities to influence architecture, tooling, and best practices