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- Tasks: Design and optimise data pipelines to support innovative investment strategies.
- Company: Leading multi-strategy hedge fund in London with a tech-driven approach.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and make a real impact in the finance world.
- Qualifications: Bachelor's or Master's in Computer Science and 2+ years in data engineering.
- Other info: Collaborative culture with a focus on innovation and technology.
The predicted salary is between 48000 - 72000 £ per year.
Our client is a leading hedge fund in London, leveraging cutting-edge technology and data to drive investment decisions across diverse asset classes. They\’re looking for a skilled Data Engineer to play a crucial role in building and optimizing the firm\’s data infrastructure.
Responsibilities:
- Design, develop, and maintain robust data pipelines and ETL processes.
- Collaborate with data scientists and analysts to support data-driven strategies.
- Ensure data accuracy, consistency, and security across various data sources.
- Drive innovation by exploring new technologies and best practices in data engineering.
Requirements:
- Bachelor’s or Master’s in Computer Science, Engineering, or a related field.
- 1+ years of experience in data engineering.
- Proficiency in SQL, Python, and big data tools like Spark.
- Excellent problem-solving skills and a collaborative mindset.
Data Engineer employer: Aurum Search Limited
Contact Detail:
Aurum Search Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, ETL processes, or any projects you've worked on. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your SQL and Python skills, and be ready to discuss your experience with big data tools. Practising common interview questions can help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially in financial services. We want to see how your skills in SQL, Python, and big data tools like Spark align with what our client is looking for.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to building robust data pipelines. Let us know how you’ve driven innovation in your previous roles.
Showcase Your Problem-Solving Skills: In your application, don’t forget to mention specific examples where you've tackled complex problems. We love seeing how you approach challenges and collaborate with others to find solutions.
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 ensure it gets the attention it deserves. Plus, it makes the process smoother for everyone!
How to prepare for a job interview at Aurum Search Limited
✨Know Your Tech Stack
Make sure you’re well-versed in SQL, Python, and big data tools like Spark. Brush up on your knowledge of cloud platforms such as AWS, GCP, or Azure. Being able to discuss specific projects where you've used these technologies will show your expertise.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about situations where you had to ensure data accuracy or security, and be ready to explain your thought process and the outcomes.
✨Collaborate Like a Pro
Since collaboration is key, think of instances where you’ve worked with data scientists or analysts. Be ready to discuss how you supported their strategies and what impact your contributions had on the overall project.
✨Stay Ahead of the Curve
Research the latest trends and technologies in data engineering. Be prepared to discuss how you can drive innovation within the firm by exploring new tools and best practices. This shows you're not just reactive but proactive in your approach.
