Senior Software Engineer - Data

Stellenbeschreibung

Join SIX as a Senior Software Engineer in Zurich, where tradition meets innovation. Shape the future of finance with a supportive work environment and flexible options. Tasks Design and operate Python-based data pipelines for financial services. Own the data lifecycle from ingestion to distribution in real-time. Collaborate with teams to enhance data platforms and engineering practices. Skills Strong Python experience with production-grade data systems; Java is a plus. Knowledge of data engineering and ETL patterns essential for success. Experience with distributed systems, particularly in financial data contexts. About the job SIX drives the transformation of financial markets. What sets us apart drives us ahead: between local roots and global relevance, we are a unique blend of tradition and future, of foundation and growth. We value bright minds and inspire them to grow with their ideas. Come and shape the future of finance with us. Zurich |Working from home 40% possible | Reference 8303 Do you want to build reliable, data-intensive systems that power financial index services? Our distributed Index team is based in Zurich and India, where data, engineering, and financial markets come together. As a Senior Software Engineer focused on data, you will develop Python-based pipelines and services and take end-to-end ownership of market, reference, configuration, and index data. Working with engineering, product, architecture, QA, and SRE teams, you will ensure accurate, traceable, and resilient processing from ingestion to distribution. What You Will Do Design, build, and operate Python-based data pipelines and services for market, reference, and index data across batch and real-time processing. Own the data lifecycle from ingestion and validation to transformation, orchestration, reconciliation, replay, and recovery. Deliver modular, testable, maintainable, and observable solutions with automated testing and reliable deployment pipelines. Build scalable and resilient distributed systems that handle large volumes, late or duplicate data, performance, and operational support. Collaborate with product, domain, architecture, QA, and SRE teams to improve data platforms, engineering standards, and modern development practices. What You Bring Strong hands-on Python experience developing, testing, deploying, and operating production-grade data pipelines and services; Java is an advantage. Solid knowledge of data engineering, including extract-transform-load patterns, data modelling, transformation, lineage, data quality, orchestration, and batch and real-time processing. Experience with distributed, data-intensive systems, including scalability, resilience, performance, observability, idempotency, reconciliation, and recovery. Strong software engineering practices, including modular design, automated testing, version control, continuous integration, and technical documentation. Experience with Apache Airflow or Metaflow and financial-market, time-series, or index data is an advantage; relevant degree or equivalent experience, fluent English, and German as a plus. If you have any questions, check out our FAQ page or call Beata Czyzewskaat +48 22 104 6571 / +41 58 399 9800 / +34 91 330 51 49. For this vacancy we only acceptdirect applications. Diversity is important to us. Therefore, we are looking to receiving applications regardless of any personal background.