Front Office Data Engineer
Brevan Howard (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 20–35 LPA
Posted on 3 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain scalable data platforms, pipelines, and services to deliver high-quality investment-enabling data across the firm.
- Collaborate closely with Front Office Quantitative Researchers and Data & Analytics Engineering teams to translate data requirements into robust, production-ready solutions.
- Own full solution lifecycle including design, implementation, testing, deployment, and first-line production support in a cloud-native environment.
Minimum Requirements
- 5+ years of professional experience in data or software engineering, preferably in financial services or buy-side/sell-side environment.
- Strong expertise in Python with solid software engineering practices (version control, testing, CI/CD).
- Experience with cloud-native data pipelines and platforms, preferably AWS; familiarity with Docker and containerized deployments.
- Proficiency in Snowflake and NoSQL databases (MongoDB); good understanding of financial markets and instruments.
Ideal Candidate Profile
- Demonstrates deep integration with quantitative research teams and ability to translate complex business problems into scalable data solutions.
- Experienced in operating and supporting data platforms in fast-paced, production-critical financial environments with ownership over end-to-end solution lifecycle.
- Capable of working independently and cross-functionally, with strong communication and stakeholder management skills focused on front office investment workflows.