Data Engineer for Quant Trading Data Pipelines in England

Data Engineer for Quant Trading Data Pipelines in England

England Full-Time 51750 - 63250 Β£ / year (est.) On-site
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At a Glance

  • Tasks: Build and manage ETL pipelines to support trading strategies.
  • Company: Global quantitative hedge fund with a focus on innovation.
  • Benefits: Competitive salary, flexible working hours, and opportunities for growth.
  • Other info: Collaborative environment with a focus on cutting-edge data solutions.
  • Why this job: Join a dynamic team where your work directly impacts trading success.
  • Qualifications: Strong Python skills and experience in data management required.

The predicted salary is between 51750 - 63250 Β£ per year.

A global quantitative hedge fund is seeking a Data Engineer to support their systematic trading efforts in the United Kingdom.

This role involves developing and managing ETL pipelines, integrating various datasets, and ensuring data quality while collaborating closely with quant and trading teams.

Ideal candidates will have strong Python skills and experience in data management.

This position offers a dynamic environment where data systems significantly influence trading performance.
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Data Engineer for Quant Trading Data Pipelines in England employer: Paragon Alpha - Hedge Fund Talent Business

Paragon Alpha is an exceptional employer that fosters a dynamic and collaborative work culture, ideal for professionals seeking to make a significant impact in the hedge fund industry. With a strong emphasis on employee development, we offer ample growth opportunities and support for continuous learning, ensuring our team members thrive in their careers. Located in a vibrant financial hub, our office provides a stimulating environment where innovative ideas are encouraged and rewarded.

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Contact Details:

Paragon Alpha - Hedge Fund Talent Business Recruitment Team

We think you need these skills to ace Data Engineer for Quant Trading Data Pipelines in England

Python
SQL
Problem-Solving Skills
Data Pipeline Development
Data Engineering
Communication Skills
API Integration