Harrington Starr · 18 hours ago
Data Engineer
Harrington Starr is a leading hedge fund seeking a skilled Data Engineer to join its front-office technology team. The role involves designing and delivering scalable, cloud-based data solutions that support trading and investment strategies.
Responsibilities
Design, build, and optimise data pipelines and ETL workflows using AWS, Python, and SQL
Develop and maintain data models, ensuring accuracy and reliability of trading and market data
Deliver Power BI dashboards and reports to provide real-time insights for investment teams
Partner with stakeholders across the equities business to understand data requirements and deliver impactful solutions
Ensure data quality, governance, and performance standards are consistently met
Collaborate with quants, traders, and developers to support research, trading, and risk workflows
Qualification
Required
Proven experience as a Data Engineer within financial services, ideally hedge funds or buy-side
Strong expertise in AWS (S3, Glue, Lambda, Redshift, Kinesis, etc.)
Advanced skills in Python and SQL for building pipelines and optimising performance
Hands-on experience with Power BI for data visualisation and reporting
Strong understanding of equities trading and market data
Excellent communication and stakeholder management skills, with the ability to work closely with front-office teams
Benefits
Bonus
Benefits
Company
Harrington Starr
Harrington Starr works with the world’s leading brands & best talent in the sector to help customers become more productive & successful.
Funding
Current Stage
Early StageRecent News
Tech Funding News
2024-11-25
Company data provided by crunchbase