12 days ago

Quant Data Engineer

Jobs via eFinancialCareers

On Site
Full Time
AED 50,000
Dubai, Dubai, United Arab Emirates

Job Overview

Job TitleQuant Data Engineer
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered SalaryAED 50,000
LocationDubai, Dubai, United Arab Emirates

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Job Description

About the Role

Our client, a leading multi-strategy hedge fund in Dubai, is looking for a Quant Data Engineer to join their systematic and quantitative strategies team. This role sits at the core of the firm's data platform and operates with a high degree of ownership within a small, high-performance group.

Responsibilities

  • Build and maintain time‑critical, high‑throughput equity data pipelines.
  • Own tick‑level market data ingestion, storage, and distribution across research and trading systems.
  • Design and maintain core APIs and data services supporting quantitative research workflows.
  • Operate and maintain Linux‑based production and research servers ensuring system reliability.
  • Implement rigorous data validation, reconciliation, and quality control processes in time‑sensitive trading environments.

Requirements

  • 3+ years' experience in data‑intensive environments, ideally within equities or systematic trading.
  • Strong expertise with equity market data, including tick‑level datasets.
  • Production‑level Python experience.
  • Strong SQL skills covering schema design and performance optimisation.
  • Experience designing APIs, microservices, or distributed data systems in a highly available environment.

Key skills/competency

  • Quantitative
  • Market Data
  • Python
  • SQL
  • APIs
  • Microservices
  • Linux
  • Data Pipelines
  • Validation
  • Research

Tags:

Quant Data Engineer
Data Pipelines
Python
SQL
APIs
Market Data
Linux
Tick-Level Data
Systematic Trading
High-Performance

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How to Get Hired at Jobs via eFinancialCareers

  • Customize your resume: Tailor skills, projects, and successes to hedge funds.
  • Highlight technical expertise: Emphasize Python, SQL, and data pipelines.
  • Research company culture: Understand their systematic trading approach.
  • Prepare for behavioral questions: Demonstrate collaboration in high-pressure environments.

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