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- Tasks: Build and manage data pipelines for risk analytics in a fast-paced trading environment.
- Company: Eaglecliff, a dynamic team based in Kensington, London.
- Benefits: Collaborative work culture with opportunities to enhance your skills.
- Other info: Full-time office role focused on teamwork and critical data processes.
- Why this job: Join a cutting-edge team and make an impact in the finance sector.
- Qualifications: Experience with Microsoft Fabric, Azure, Python, SQL, and Apache Spark.
The predicted salary is between 50000 - 65000 £ per year.
Eaglecliff is seeking a skilled Data Engineer to join their team in Kensington, London. This role involves building and managing data pipelines and supporting risk analytic workflows in a fast-paced trading environment.
The ideal candidate will have hands-on experience with Microsoft Fabric and Azure data services, alongside strong skills in Python, SQL, and Apache Spark.
This non-hybrid position requires working five days a week in the office, emphasizing teamwork and collaboration on critical data processes.
Risk Data Engineer – Azure & Fabric (Kensington) employer: Eaglecliff
Contact Detail:
Eaglecliff Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Risk Data Engineer – Azure & Fabric (Kensington)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with Azure and Fabric. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Python, SQL, and Apache Spark. Having tangible examples of your work can really impress potential employers and set you apart from the crowd.
✨Tip Number 3
Prepare for the technical interview! Brush up on your data pipeline management and risk analytics knowledge. Practising common interview questions related to these topics will help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Risk Data Engineer – Azure & Fabric (Kensington)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Microsoft Fabric, Azure, Python, SQL, and Apache Spark. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Risk Data Engineer position and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Teamwork Skills: Since this role emphasises collaboration, make sure to mention any experiences where you’ve worked in a team setting. We value teamwork at StudySmarter, so let us know how you contribute to group success!
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’re considered for the role. Plus, it’s super easy – just follow the prompts and submit your materials!
How to prepare for a job interview at Eaglecliff
✨Know Your Tech Stack
Make sure you brush up on your knowledge of Microsoft Fabric, Azure data services, Python, SQL, and Apache Spark. Be ready to discuss how you've used these technologies in past projects, as this will show your hands-on experience and technical prowess.
✨Understand the Trading Environment
Familiarise yourself with the fast-paced trading environment that Eaglecliff operates in. Research common risk analytic workflows and be prepared to discuss how you can contribute to optimising data pipelines in such a setting.
✨Showcase Teamwork Skills
Since this role emphasises collaboration, think of examples where you've successfully worked in a team. Be ready to share how you’ve contributed to group projects and how you handle challenges within a team dynamic.
✨Prepare Questions
Have a few thoughtful questions ready for your interviewers. This could be about their current data processes or how they envision the role evolving. It shows your genuine interest in the position and helps you assess if it's the right fit for you.