Senior Data Engineer (Quant & Alternative Data)
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
Compensation & Benefits
* 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
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