Data Engineer
We are seeking a highly motivated and technically skilled Data Engineer to my client's trading technology team. In this role, you will be responsible for managing and optimizing the extensive and diverse datasets that power our research and trading platforms. Your primary objective will be to ensure the reliability, scalability, and accessibility of data systems that support quantitative analysts and traders in making data-driven decisions.
Your responsibilities will include:
- designing and implementing robust data storage solutions and APIs that serve as the backbone of our infrastructure.
- monitor data ingestion pipelines, ensure data quality and integrity, and proactively address any issues related to data health.
- integrating alternative and non-traditional datasets into our systems, enhancing the breadth and depth of data coverage
- provide technical support to internal users, including quants and traders, helping them access and utilize data effectively.
To succeed in this role, you should have:
- at least 2 years of experience in a data-focused or engineering role, with strong proficiency in Python and a solid understanding of SQL and relational databases.
- Excellent communication skills in English, both written and verbal, are essential, as is the ability to understand and respond to user needs.
- We value intellectual curiosity, a proactive mindset, and the ability to work independently within a globally distributed team.
Preferred qualifications include experience managing both structured and unstructured data, familiarity with financial datasets (especially equities and derivatives), and prior exposure to financial data vendors or market data systems. A passion for learning new technologies and continuously improving data systems will be key to your success in this dynamic and impactful role.
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