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- Tasks: Build scalable data systems for high-performance trading in finance.
- Company: Leading finance firm in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team at the intersection of data and finance to drive impactful decisions.
- Qualifications: Strong engineering skills with proficiency in Python and SQL.
- Other info: Perfect for ambitious individuals looking to advance their careers in data engineering.
The predicted salary is between 43200 - 72000 £ per year.
A leading finance firm in Greater London is seeking ambitious Data Engineers to join their team. This mid-level to senior role focuses on building scalable systems that support high-performance trading. Candidates should have strong engineering skills and a curiosity for how data drives decisions. Proficiency in tools like Python and SQL is essential. Ideal for those wanting to work at the intersection of data and finance.
Senior Data Engineer: Finance Data Pipelines & Cloud employer: OCR Alpha
Contact Detail:
OCR Alpha Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: Finance Data Pipelines & Cloud
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and data engineering space 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 projects, especially those involving Python and SQL. This gives us a tangible way to see what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your data pipeline knowledge. We love seeing candidates who can talk about their thought process and problem-solving skills.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates like you!
We think you need these skills to ace Senior Data Engineer: Finance Data Pipelines & Cloud
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your engineering skills and experience with Python and SQL in your application. We want to see how you can build scalable systems that support high-performance trading, so don’t hold back!
Be Curious: Let us know about your curiosity for data and how it drives decisions. Share examples of how you've used data to solve problems or improve processes in your previous roles. We love a good story!
Tailor Your Application: Don’t just send a generic application. Take the time to tailor your CV and cover letter to this specific role. Mention why you’re excited about working at the intersection of data and finance, and how you can contribute to our team.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at OCR Alpha
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Understand the Finance Landscape
Since this role is at the intersection of data and finance, it’s crucial to have a grasp of financial concepts. Familiarise yourself with how data impacts trading decisions and be prepared to discuss how your engineering skills can enhance performance in this area.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical questions or case studies during the interview. Think about how you would approach building scalable systems for high-performance trading and be ready to explain your thought process clearly.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s data infrastructure and future projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
