Lead Java Backend Engineer - Regulatory Data Platform

Luxoft; Polska; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Job summary

Luxoft is seeking an experienced Java backend engineer to join a Regulatory Reporting Platform in a large US investment bank. You will design and optimize data pipelines, transform data from multiple sources, and deliver scalable batch processing for regulatory reports across jurisdictions.

The role requires strong Java and SQL skills, familiarity with Spark/Hadoop, and collaboration in a distributed, agile environment across Ukraine, Poland, and the US.

Qualifications

• 6+ years of experience building backend systems in Java.
• Strong SQL skills and working with large, diverse data sources.
• Experience collaborating in a global, distributed team.
• Ability to design scalable, high-performance data processing solutions.

Responsibilities

• Design, develop, and maintain a large-scale Regulatory Reporting Platform.
• Build and optimize data pipelines using Java and Apache Spark.
• Implement ingestion, transformation, and enrichment from multiple data sources.
• Develop batch jobs to generate regulatory reports across jurisdictions.
• Ensure data quality, validation, reconciliation, and reliability throughout the lifecycle.
• Collaborate with business analysts, QA, and cross-functional teams.
• Investigate issues in dev/test/prod and improve performance and scalability.
• Support continuous platform improvement with monitoring and operations.

Skills

Java

SQL

Distributed team

Backend performance

Tools

Spark

Hadoop

Job description

Project description

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.

Responsibilities

• - Design, develop, and maintain solutions for a large-scale Regulatory Reporting Platform- Build and enhance data processing pipelines using Java and Apache Spark- Implement scalable logic for data ingestion, transformation, aggregation, and enrichment from multiple internal data sources- Develop and optimize batch processing jobs to support the generation of regulatory reports across multiple jurisdictions- Ensure high standards of data quality, validation, reconciliation, and consistency throughout the reporting lifecycle- Translate business and regulatory requirements into robust technical solutions- Collaborate with business analysts, QA engineers, and cross-functional teams to deliver reporting functionality- Investigate and resolve data and application issues in development, test, and production environments- Improve application performance, scalability, and reliability for high-volume data processing workloads- Contribute to the design and implementation of reusable components and engineering best practices- Participate in code reviews, testing, and release activities to ensure high-quality deliverables- Work closely with distributed teams across Ukraine, Poland, and the US in an agile delivery model- Support continuous improvement of the platform, including monitoring, troubleshooting, and operational stability

SKILLS

Must have

• - 6+ years of commercial experience with Java- Experience in designing and developing scalable, high-performance backend applications- Good knowledge of SQL and working with large datasets from multiple data sources- Strong problem-solving skills and ability to work effectively in a global distributed team

Nice to have

- Spark and Hadoop knowledge- Experience in financial services, investment banking, or regulatory reporting projects- Familiarity with data quality, reconciliation, and control frameworks- Experience working with large-scale enterprise data platforms- Knowledge of cloud environments and modern data platform architectures- Understanding of CI/CD practices and automated deployment pipelines- Experience working in Agile / Scrum teams within a distributed global setup