AI SCORE 8.5

Senior Data Engineer - Quant & Alternative Data

$120K–$300K/year

About the Role

We are seeking a Senior Data Engineer (Quant & Alternative Data) remote to join our innovative team in Abu Dhabi. This role involves building a centralized data engineering and research platform that supports quantitative research teams across multiple asset classes. As a Senior Data Engineer remote, you will work with large-scale alternative and unstructured data, tackling messy datasets and performance-sensitive pipelines.

What You'll Do

  • Design and build data ingestion, validation, and transformation systems from scratch.
  • Own datasets end-to-end, from raw ingestion through validation and transformation to research-ready delivery.
  • Work with financial and alternative datasets used in quantitative research, including structured and unstructured data.
  • Build frameworks and tooling to support experimentation.
  • Optimize systems for correctness, robustness, and performance.
  • Investigate anomalies, inconsistencies, and data quality issues.
  • Collaborate directly with quants, researchers, and data scientists in an iterative, research-driven environment.

Requirements

  • Strong proficiency in Python and SQL, with hands-on experience working close to raw data.
  • Experience building and operating modern data pipelines with real ownership.
  • Familiarity with research-, trading-, or decision-critical systems.
  • Curiosity about modern data tooling (e.g., Polars, Julia, Rust).
  • Preference for hands-on technical ownership.

Nice to Have

  • Background in systematic funds, quantitative asset managers, HFTs, or trading firms.
  • Experience in FinTechs or financial data providers.
  • Exposure to Big Tech or adjacent industries related to quant data problems.

What We Offer

  • Fully guaranteed, competitive compensation of £120,000–£300,000.
  • Education allowance for dependent children.
  • 30 working days of annual leave, plus public holidays.
  • Comprehensive healthcare for employee and family.
  • Business class relocation flights and joining allowances.

This Senior Data Engineer remote role is primarily on-site in Abu Dhabi, with short-term remote work supported during peak summer months. Join us to advance your Data Science career with relocation support!

Why This Job8.5 of 10

This Senior Data Engineer role offers a unique opportunity to work with alternative data in a dynamic environment. Competitive salary and relocation support make it appealing.

Salary Range
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Bonus
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About Durlston Partners

Explore Durlston Partners careers in 2026 and find your ideal job today. Browse a range of remote, hybrid, and office roles tailored to your needs. Utilize our advanced filters to refine your search, track your applications effortlessly, and gain valuable company insights. Discover exciting career opportunities at Durlston Partners and take the next step in your professional journey with us.

Industry
Tech
Location
On-site

Who Will Succeed Here

Proficient in Python for data manipulation and analysis, with hands-on experience in libraries such as Pandas and NumPy, enabling the candidate to efficiently handle large-scale alternative datasets.

Strong understanding of SQL for data querying and transformation, with the ability to optimize complex queries for performance, essential for building and maintaining data pipelines in a high-performance environment.

Experience in developing and validating data pipelines, with a focus on data quality and integrity, allowing for the effective handling of messy datasets typical in quantitative research.

Learning Resources

Python for Data Science Handbookguide

Career Path

Senior Data Engineer - Quant & Alternative Data(Now)Lead Data Engineer(1-2 years)Data Engineering Manager(3-5 years)

Market Overview

Market Size 2024
$9.5B
Annual Growth
12.3%
AI Adoption
67%
Investment
+45%
Labour Demand
+30%
Avg Salary
$130K

Skills & Requirements

Required
PythonSQLData Engineering
Growing in Demand
Apache SparkMachine LearningData Warehousing
Declining
Hadoop MapReduceR Programming

Domain Trends

Increased Focus on Real-Time Data Processing
Companies are investing heavily in real-time data capabilities, with 60% of data engineers reporting a shift towards streaming data technologies.
Rise of Cloud Data Solutions
Over 70% of organizations are migrating to cloud-based data platforms, driving demand for data engineers skilled in AWS, Azure, and Google Cloud.
Integration of AI in Data Engineering
AI tools are being integrated into data pipelines, with 50% of firms adopting AI-driven data validation and transformation processes.

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