Data Engineer

Durlston Partners

England

On-site

GBP 60,000 - 80,000

Full time

14 days+

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Benefits offered by this job

Fully guaranteed competitive compensation
Comprehensive healthcare for employee and family
Education allowance for dependent children
30 working days of annual leave, plus public holidays
Business class relocation flights

Job summary

A leading recruitment consultancy is seeking a Data Engineer to join their team in Abu Dhabi. This role involves building scalable data pipelines and owning datasets end-to-end, from ingestion to delivery. Ideal candidates will have strong Python and SQL skills, and experience with modern data pipelines. The position offers fully guaranteed, competitive compensation along with relocation support and comprehensive healthcare. Short-term remote work during peak summer months is supported.

Qualifications

  • Comfortable working close to raw data.
  • Exposure to research-, trading-, or decision-critical systems.
  • Preference for hands-on technical ownership.

Responsibilities

  • Design and build scalable data pipelines.
  • Own datasets end-to-end, from ingestion to delivery.
  • Optimise data systems for correctness and performance.

Skills

Strong Python skills
Strong SQL skills
Experience with modern data pipelines
Independent thinker

Job description

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This range is provided by Durlston Partners. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Durlston Partners

Connecting Exceptional Tech Talent with the leading AI and Investment FirmsDubai I Abu Dhabi I London I New York

Location: Abu Dhabi, UAE (relocation support provided)

Compensation:Highly competitive, fully guaranteed

The Role

We are building a data engineering function to support quantitative research and production teams working with large-scale financial and alternative data. The work involves messy, evolving datasets, performance-sensitive pipelines, and open-ended technical problems. Much of the stack is built in-house and largely greenfield.

What You’ll Do

  • Design and build scalable data pipelines
  • Own datasets end-to-end, from ingestion and validation to downstream delivery
  • Develop ingestion, transformation, and quality-control frameworks
  • Build tooling to support research and experimentation
  • Optimise data systems for correctness, reliability, and performance
  • Collaborate closely with researchers, quants, and data scientists

This Role Is a Good Fit If You

  • Strong Python and SQL skills, comfortable working close to raw data
  • Experience building and operating modern data pipelines
  • Exposure to research-, trading-, or decision-critical systems
  • Independent thinker, comfortable with ambiguity
  • Preference for hands-on technical ownership

Ideal Background

  • Systematic funds, quantitative asset managers, HFTs, or trading firms
  • FinTechs or financial data providers
  • Smaller teams with broad ownership and responsibility
  • Strong early-career profiles with clear technical depth
  • Fully guaranteed, competitive compensation
  • Education allowance for dependent children
  • 30 working days of annual leave, plus public holidays
  • Comprehensive healthcare for employee and family
  • Business class relocation flights
  • Joining and departure allowances

The role is on-site in Abu Dhabi. Short-term remote work during peak summer months is supported. The working model prioritises sustainability and focused technical work.

Send your CV and a brief summary to

dana@durlstonpartners.com

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering and Research
  • Industries
    Financial Services, Investment Management, and Capital Markets

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