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- Tasks: Build and manage data pipelines for risk analytics in a fast-paced trading environment.
- Company: Join Eaglecliff, a dynamic team in Kensington, London.
- Benefits: Collaborative work culture with opportunities to enhance your skills.
- Other info: Non-hybrid role focused on teamwork and critical data processes.
- Why this job: Make an impact in trading by leveraging cutting-edge data technologies.
- Qualifications: Experience with Microsoft Fabric, Azure, Python, SQL, and Apache Spark.
The predicted salary is between 60000 - 80000 £ 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) in London employer: Eaglecliff
Contact Detail:
Eaglecliff Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Risk Data Engineer – Azure & Fabric (Kensington) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work at Eaglecliff or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Azure, Fabric, Python, SQL, and Apache Spark. This is your chance to demonstrate what you can do beyond just words on a CV.
✨Tip Number 3
Prepare for the technical interview! Brush up on your data pipeline management and risk analytics knowledge. Practise coding challenges related to Python and SQL to ensure you're ready to impress.
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application directly, and it shows you're genuinely interested in joining our team. Plus, it helps us keep track of your application better!
We think you need these skills to ace Risk Data Engineer – Azure & Fabric (Kensington) in London
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’re looking for candidates who thrive in a fast-paced environment and can contribute to critical data processes together with us.
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 shows you’re keen on joining our team at StudySmarter!
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.
✨Showcase Your Problem-Solving Skills
In a fast-paced trading environment, problem-solving is key. Prepare examples of challenges you've faced in data engineering and how you tackled them. This will demonstrate your ability to think on your feet and contribute to the team's success.
✨Emphasise Teamwork and Collaboration
Since this role requires working closely with others, be prepared to discuss your experiences in team settings. Highlight instances where you collaborated on critical data processes and how you contributed to achieving common goals.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about the team dynamics, ongoing projects, or how they measure success in the role. This not only shows your enthusiasm but also helps you gauge if it's the right fit for you.