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- Tasks: Build scalable data pipelines and manage datasets from start to finish.
- Company: Leading recruitment consultancy with a focus on innovation.
- Benefits: Competitive salary, relocation support, comprehensive healthcare, and summer remote work.
- Why this job: Join a dynamic team and make an impact in the financial sector.
- Qualifications: Strong Python and SQL skills, plus experience with modern data pipelines.
- Other info: Exciting opportunity for career growth in a vibrant city.
The predicted salary is between 36000 - 60000 £ per year.
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.
Data Engineer: Greenfield Financial Pipelines (Abu Dhabi) employer: Durlston Partners
Contact Detail:
Durlston Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Greenfield Financial Pipelines (Abu Dhabi)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working as Data Engineers. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and SQL. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. We recommend practising coding challenges and discussing your past experiences with data pipelines to demonstrate your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re here to support you every step of the way in landing that dream job in Abu Dhabi!
We think you need these skills to ace Data Engineer: Greenfield Financial Pipelines (Abu Dhabi)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python and SQL skills, as well as any experience with data pipelines. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Engineer position and how your experience makes you a perfect fit. We love seeing genuine enthusiasm for the role.
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! Whether it's building a pipeline or managing datasets, we want to know what you've done and how it relates to what we do at StudySmarter.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Durlston Partners
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've built data pipelines, and be prepared to explain your thought process and the challenges you faced.
✨Showcase Your Problem-Solving Skills
Data engineering is all about solving problems. Think of examples where you've had to troubleshoot issues in data ingestion or delivery. Be ready to walk through your approach to finding solutions and how you ensured data integrity.
✨Understand the Company’s Needs
Research the consultancy and their clients. Understand the types of financial datasets they work with and how your experience aligns with their needs. This will help you tailor your answers and show that you're genuinely interested in the role.
✨Ask Insightful Questions
Prepare a few thoughtful questions to ask at the end of the interview. Inquire about their current data pipeline challenges or how they envision the role evolving. This shows your enthusiasm and helps you gauge if the company is the right fit for you.
