Senior Software Engineer – Data

About the role

Join our distributed Index team to build reliable, data‑intensive systems that power financial index services. You will develop Python‑based pipelines and services, taking end‑to‑end ownership of market, reference, configuration, and index data.

Key responsibilities

• Design, build, and operate Python data pipelines and services for batch and real‑time processing.
• Own the full data lifecycle from ingestion, validation, transformation, orchestration, reconciliation, replay, to recovery.
• Deliver modular, testable, maintainable, and observable solutions with automated testing and reliable deployment pipelines.
• Build scalable, resilient distributed systems handling large volumes, late or duplicate data, and performance requirements.
• Collaborate with product, architecture, QA, and SRE teams to improve data platforms and engineering standards.

Required profile

• Strong hands‑on Python experience developing, testing, deploying, and operating production‑grade data pipelines.
• Solid knowledge of data engineering concepts such as ETL patterns, data modelling, lineage, quality, and orchestration.
• Experience with distributed, data‑intensive systems focusing on scalability, resilience, observability, idempotency, and recovery.
• Fluent English; German is a plus.

Required skills

• Python
• Java (advantage)
• Apache Airflow or Metaflow
• Data modelling and ETL