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Luxoft DXC in Kraków is seeking a data platform engineer to design, develop, and maintain a large-scale Regulatory Reporting Platform. You will build data pipelines using Java and Apache Spark to ingest, transform, and enrich data from multiple internal sources.
Working with analysts, QA, and distributed teams in Ukraine, Poland, and the US, you will implement robust, scalable batch jobs, ensure data quality and validation, and drive performance improvements for high-volume reporting.
You will join a Regulatory Reporting Platform within a large US investment bank. The platform is responsible for collecting, processing, and transforming large volumes of data from multiple internal systems to produce regulatory reports for 240 jurisdictions worldwide. In total, the platform supports around 10,000 reports across a wide range of regulatory, compliance, financial, and risk reporting areas.
This is a large-scale, business-critical data platform operating in a highly regulated environment, where data accuracy, quality, traceability, and timely delivery are essential. The team works on building and enhancing data pipelines, implementing reporting logic, ensuring data validation and reconciliation, and supporting the generation of complex regulatory outputs.
The project is delivered by a global distributed team with colleagues located in Ukraine, Poland, and the US, offering close collaboration with engineers, analysts, and business stakeholders across multiple regions.