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- Tasks: Support critical data pipelines and develop tools for smooth data operations.
- Company: Leading financial services firm in Greater London with a focus on innovation.
- Benefits: Challenging environment with robust growth opportunities and competitive salary.
- Why this job: Join a dynamic team and make an impact in the finance sector.
- Qualifications: Bachelor’s degree in Computer Science and 3 years of relevant experience.
- Other info: Proficiency in SQL Server and Python is essential.
The predicted salary is between 43200 - 72000 £ per year.
A leading financial services firm in Greater London is seeking a Data Reliability Engineer to join their team. You will provide Level 1 support for critical data pipelines, develop tools and processes, and ensure data operations run smoothly.
The ideal candidate has a Bachelor’s degree in Computer Science and at least 3 years of experience in client-facing support or data engineering roles. Proficiency in SQL Server and Python is required.
The position offers a challenging environment in finance with robust growth opportunities.
Data Reliability Engineer | Scalable Data Pipelines in London employer: Point72
Contact Detail:
Point72 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Reliability Engineer | Scalable Data Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and data engineering sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL Server and Python projects. This gives potential employers a taste of what you can do beyond the written application.
✨Tip Number 3
Prepare for interviews by brushing up on common data pipeline challenges. We want you to be ready to discuss how you'd tackle real-world problems in the role.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Data Reliability Engineer | Scalable Data Pipelines in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and client-facing support. We want to see how your skills in SQL Server and Python shine through, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the Data Reliability Engineer role. Share specific examples of how you've ensured smooth data operations in the past.
Showcase Your Problem-Solving Skills: In your application, give us a glimpse of how you tackle challenges. We love candidates who can develop tools and processes that enhance data reliability, so share any relevant experiences!
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 Point72
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data pipelines and SQL Server. Be ready to discuss how you've handled data reliability issues in the past, as well as any tools or processes you've developed to ensure smooth operations.
✨Showcase Your Client-Facing Experience
Since this role involves client interaction, prepare examples that highlight your experience in client-facing support. Think about times when you resolved issues or improved client satisfaction through your technical skills.
✨Demonstrate Your Python Skills
Be prepared to talk about your proficiency in Python. You might even be asked to solve a problem on the spot, so practice coding challenges related to data engineering to showcase your abilities.
✨Understand the Financial Services Landscape
Familiarise yourself with the financial services industry and its challenges. Showing that you understand the context in which the company operates will demonstrate your genuine interest in the role and help you stand out.
