Senior Backend/Data Engineer - 14426

Om jobbet

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in securing the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

Assignment Description:

We are looking for a Senior Backend/Data Engineer to join our dynamic team.

What You Will Work On

Gain deep expertise in settlement, revenue, and cash-processing systems, understanding how they support global financial operations, compliance, and strategic decision-making.

Design and implement scalable backend and data solutions that process millions of daily transactions, ensuring reliable cash application, settlement, and financial reporting.

Build intuitive, self-service tools that enable Finance teams to configure product-specific rules and workflows independently.

Develop modular platform components that encode core enterprise processes, improving consistency, maintainability, and reuse across the organization.

Collaborate closely with Engineering, Finance, and Product stakeholders to design systems that are auditable, secure, and highly resilient.

Contribute to large-scale modernization initiatives, including the rebuild of the historical settlement system and expansion into the Payment Fees domain.

Promote engineering best practices through strong architectural thinking, performance optimization, testing discipline, and operational excellence.

What You Bring

Deep expertise in either backend engineering or data engineering, with the ability and willingness to work effectively across both areas.

Experience working with large-scale transactional or financial data platforms in production environments.

Strong advantage: hands-on experience with batch or streaming frameworks such as Spark, Flink, or Beam (preferably with Scala), and/or experience building scalable backend services in Java.

Solid foundation in system design, data structures, algorithms, and distributed system fundamentals.

Familiarity with cloud-native development and deployment; experience with Google Cloud Platform is a plus.

Ability to think critically about system architecture and design for scalability, maintainability, and auditability.

Excellent communication skills and proven experience collaborating with Engineering, Finance, and Product teams.

Comfort working in fast-moving, ambiguous environments with a focus on usability, configurability, and long-term sustainability.

Strong commitment to code quality, automated testing, documentation, and continuous improvement.