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For Companies At a Glance
- Tasks: Design and build scalable data pipelines for cutting-edge financial research.
- Company: Join a leading tech firm in the heart of Abu Dhabi.
- Benefits: Highly competitive salary, comprehensive healthcare, and generous leave.
- Other info: Relocation support provided; enjoy a sustainable working model.
- Why this job: Make an impact with innovative data solutions in a dynamic environment.
- Qualifications: Strong Python and SQL skills; experience with data pipelines required.
The predicted salary is between 60000 - 80000 £ per year.
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
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 apply.
Data Engineer in England employer: DURLSTON PARTNERS
Contact Detail:
DURLSTON PARTNERS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in England
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at firms you're interested in. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress recruiters.
✨Tip Number 3
Prepare for technical interviews by brushing up on Python and SQL. Practice coding challenges and be ready to discuss your thought process. We all know that problem-solving is key in this role!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your Python and SQL skills, and any experience with data pipelines. We want to see how your background fits with our needs!
Craft a Compelling Summary: In your brief summary, showcase your passion for data engineering and your hands-on experience. Let us know why you’re excited about working with messy datasets and performance-sensitive pipelines.
Showcase Your Problem-Solving Skills: We love independent thinkers! In your application, mention specific examples where you've tackled ambiguous technical problems. This will help us see your potential fit in our innovative environment.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at DURLSTON PARTNERS
✨Know Your Data Inside Out
As a Data Engineer, you’ll be working with messy and evolving datasets. Make sure you understand the types of data you'll be handling and be ready to discuss your experience with data ingestion, validation, and transformation. Brush up on your Python and SQL skills, as these will be crucial in your role.
✨Showcase Your Problem-Solving Skills
Expect to face open-ended technical problems during the interview. Prepare examples from your past experiences where you tackled complex issues, especially in building or optimising data pipelines. Highlight your independent thinking and how you navigated ambiguity in those situations.
✨Collaborate Like a Pro
Collaboration is key in this role, so be ready to discuss how you've worked closely with researchers, quants, or data scientists in the past. Share specific instances where your teamwork led to successful outcomes, and demonstrate your ability to communicate technical concepts clearly.
✨Understand the Financial Context
Since the role involves working with financial and alternative data, it’s beneficial to have a grasp of the industry. Familiarise yourself with systematic funds, quantitative asset management, and trading systems. This knowledge will not only impress your interviewers but also help you relate your technical skills to their business needs.