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- Tasks: Build data ingestion and transformation systems for structured and unstructured data.
- Company: Leading financial data firm with a focus on innovation.
- Benefits: Competitive compensation, relocation support, comprehensive healthcare, and generous leave policies.
- Why this job: Join a dynamic team and work with cutting-edge data technologies.
- Qualifications: Strong Python and SQL skills, plus experience with modern data pipelines.
- Other info: Short-term remote work supported during peak summer months.
The predicted salary is between 36000 - 60000 £ per year.
A leading financial data firm is seeking a Senior Data Engineer to work in Abu Dhabi. This role involves building data ingestion and transformation systems, working with both structured and unstructured data.
The ideal candidate has strong Python and SQL skills and experience with modern data pipelines.
The position comes with competitive compensation, relocation support, and numerous benefits including comprehensive healthcare and generous leave policies. Short-term remote work is also supported during peak summer months.
Senior Data Engineer: Quant & Alternative Data Platform in Liverpool employer: Durlston Partners
Contact Detail:
Durlston Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: Quant & Alternative Data Platform in Liverpool
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your Python and SQL projects. This is your chance to demonstrate your expertise in building data ingestion and transformation systems.
✨Tip Number 3
Ace the interview by practising common questions related to data engineering. Be ready to discuss your experience with modern data pipelines and how you've tackled challenges with both structured and unstructured data.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior Data Engineer: Quant & Alternative Data Platform in Liverpool
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python and SQL skills in your application. We want to see how you've used these tools in real-world scenarios, especially when it comes to building data ingestion and transformation systems.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Senior Data Engineer role. We love seeing candidates who take the extra step to connect their experience with what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and concise. We appreciate straightforward communication, so make sure your points are easy to understand and directly related to the job description.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and ensure it reaches the right people!
How to prepare for a job interview at Durlston Partners
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data ingestion and transformation systems. Be ready to discuss your experience with both structured and unstructured data, as well as any specific projects you've worked on that showcase your skills in Python and SQL.
✨Showcase Your Pipeline Experience
Prepare to talk about modern data pipelines you've built or contributed to. Highlight the tools and technologies you used, and be ready to explain how you approached challenges during the development process. This will demonstrate your hands-on experience and problem-solving abilities.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data strategy, team structure, and the specific challenges they face. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
✨Be Ready for Technical Challenges
Expect some technical questions or even a coding challenge during the interview. Brush up on your Python and SQL skills, and practice solving problems on platforms like LeetCode or HackerRank. This will help you feel more confident and prepared when faced with technical assessments.
