Data Integration Specialist - Python, AWS
On-site · London, England, United Kingdom
Job Summary
Collaborate with Researchers and Analysts to onboard data sources and signals through a centralized framework; contribute to the design and maintenance of datasets used for signal generation in trading strategies; develop robust data quality checks to enhance monitoring and ensure longevity of data sources; integrate alternative datasets and build tools to automate data pipelines for faster and more reliable delivery; provide support to end users, including Quant Researchers and Traders.
Required Qualifications
- 2+ years’ hands-on experience in data engineering
- Excellent communication skills and a collaborative mindset to work effectively with other engineers, quants and traders
- Strong software engineering fundamentals and proficiency in Python
- Experience with workflow orchestration frameworks (e.g. Argo, Airflow)
- Experience designing and implementing RESTful APIs and internal service integrations
- Experience with observability tools (e.g. Grafana, CloudWatch)
- Familiarity with Kubernetes, container orchestration, and cloud infrastructure (AWS preferred)
- Exposure to the front-end, particularly with regards to custom monitoring dashboards, is a plus
- Self-starter mentality with the ability to work autonomously within a globally distributed team
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