We’re looking for a Data Reliability Engineer to help keep our trading and data platforms running seamlessly. In this role, you’ll be the guardian of our data pipelines — ensuring that trading critical Airflow workflows and Python-based jobs run smoothly, on time, and with precision. You’ll dive deep into incidents when they happen, diagnose issues quickly, and make the fixes that keep downstream systems healthy and reliable. Your work will directly support the speed and stability our trading teams depend on every day.

You’ll collaborate closely with quantitative researchers, data and reliability engineers, and developers to review changes, manage releases, and strengthen our overall deployment practices. Beyond keeping things running, you’ll help make them better — improving monitoring, alerts, and recovery processes while automating wherever possible. This role is perfect for someone who thrives on ownership, loves solving complex operational puzzles, and is passionate about building robust, high-performance data systems that never miss a beat.

In this role you will:

• Ensure Platform Reliability - Monitor and maintain trading-critical Airflow DAGs and Python-based pipelines, ensuring jobs run on time and within SLAs
• Incident Response & Recovery - Triage, troubleshoot, and resolve failures quickly; validate downstream impacts and maintain tested rollback/recovery procedures
• Change & Release Management - Act as a release gatekeeper—review code/config changes, enforce safe deployment standards, and coordinate risk-aware releases via Git(lab) and Octopus Deploy
• Collaboration & Communication - Partner with quants and engineers to assess change impacts, document runbooks, and communicate operational updates and risks
• Continuous Improvement - Enhance monitoring, alerting, and automation; track KPIs and drive initiatives that strengthen platform resilience and reduce incident recurrence
  

• Degree in a technical or business discipline or equivalent industry experience of 1+ years
• Demonstrated experience with Python or equivalent language
• Excellent analytical & troubleshooting skills, self-motivated and curious
• Willing to work shift hours, to cover early and late responsibilities (alternating)
• Experience with Change Management, Incident Management Procedures
• Experience of technical documentation & support cases

Desirable 

• Financial Trade Floor experience is a plus but not essential, training will be provided.
• Knowledge of system monitoring tools such as Check_MK, Splunk, ELK
• Awareness of modern distributed application systems and the glue that binds them - messaging and database systems

see reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

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