
Senior Data Engineer - Durlston Partners - Abu Dhabi, Dubai
Data Engineer
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Job Description
Join a leading ML-driven quant fund in the UAE as a Senior Data Engineer, building high-impact data pipelines with top-tier buy-side talent and earning up to $250k tax-free. The role involves acquiring and ingesting datasets, designing and managing robust data pipelines, collaborating with cross-functional teams, and partnering with quantitative researchers and investment analysts to meet research requirements. The ideal candidate has over 6 years of experience in data/quant engineering, proficiency in Python and SQL, experience with modern data warehousing solutions like Snowflake, Databricks, Redshift, familiarity with Apache Airflow, Terraform, cloud platforms (AWS, Azure, GCP), and knowledge of financial datasets such as Bloomberg, FactSet, S&P Global, Macrobond, Finaeon, MSCI. The position offers a chance to work in Abu Dhabi or Dubai, with significant tax advantages, top international schools, and a safe, sunny environment.
Company Information
| Location | Active listings |
|---|---|
| Remote - Global | 85 |
| Remote | 4 |
| Europe | 2 |
| UK | 1 |
| Role type | Active listings |
|---|---|
| Software Engineer | 13 |
| Quantitative Researcher | 6 |
| Quantitative Developer | 5 |
| C++ Engineer | 3 |
| Data Scientist | 3 |
| Senior Software Engineer | 2 |
| Portfolio Manager | 2 |
| Quantitative Trader | 2 |
| Frontend Developer | 2 |
| Data Engineer | 2 |
| Machine Learning Researcher | 2 |
| Finance Data Scientist | 2 |
| Senior C++ Engineer | 1 |
| Options Volatility Traders | 1 |
| Hardware Engineer | 1 |
| Options Trader | 1 |
| C++ Software Engineer | 1 |
| Systematic Equity Quantitative Researcher | 1 |
| Senior AI/Deep Learning Quantitative Researcher | 1 |
| Researcher | 1 |
| FPGA Engineer | 1 |
| AI Engineer | 1 |
| Smart Contract Engineer | 1 |
| Enterprise Account Executive | 1 |
| Quant Developer | 1 |
| Quantitative Research Lead | 1 |
| Front End Engineer | 1 |
| Full Stack Engineer | 1 |
| Infrastructure Lead | 1 |
| Python Developer | 1 |
| Head of AI | 1 |
| Head of Artificial Intelligence | 1 |
| Software Engineering Manager | 1 |
| Research Scientist | 1 |
| Financial Analyst | 1 |
| DeFi Software Engineer | 1 |
| Quantitative Analyst | 1 |
| Principal Engineer | 1 |
| Financial Trader | 1 |
| Business Analyst | 1 |
| Middle Office Software Engineer | 1 |
| Frontend Engineer | 1 |
| C++ Team Lead | 1 |
| Quantitative Portfolio Manager | 1 |
| Quantitative Strategist | 1 |
| Project Manager | 1 |
| Machine Learning / Software Engineer | 1 |
| Chief Legal Officer | 1 |
| Hardware Engineering | 1 |
| Java Developer | 1 |
| C++ Developer | 1 |
| Cloud Infrastructure Engineer | 1 |
| Systematic Portfolio Manager | 1 |
| Golang Engineer | 1 |
| UI/UX Engineer | 1 |
| Options Strategist | 1 |
| Emerging Markets Rates & FX Portfolio Manager | 1 |
| Role level | Active listings |
|---|---|
| Mid-Level | 77 |
| Senior | 3 |
Durlston Partners appears in 92 indexed job postings in JobCrawls' Finland dataset since October 2023. In that historical index, the strongest location signals for this employer are Remote - Global, Remote, and Europe.
Data shown is based on historical job postings from our database.
Job Details
Responsibilities
- Acquire and ingest datasets from various sources to meet business needs.
- Design, build and manage robust data pipelines and infrastructure to ensure high data quality and reliability.
- Collaborate with cross-functional teams to understand business objectives and translate them into technical solutions.
- Partner closely with quantitative researchers and investment analysts to ensure data products meet research requirements.
Requirements
- 6+ years’ experience in Data/Quant Engineering
- Python
- SQL
- Modern data warehousing (Snowflake, Databricks, Redshift, etc.)
- Apache Airflow or similar
- Terraform
- Cloud experience (AWS, Azure, GCP)
- Familiarity with financial datasets (Bloomberg, FactSet, S&P Global, Macrobond, Finaeon, MSCI)
Skills & Technologies
Education Level
None required