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- Tasks: Develop tools and scripts for monitoring client data and provide front-line support.
- Company: Leading global credit intelligence provider with a focus on growth and inclusion.
- Benefits: Dynamic work environment with opportunities for career advancement.
- Why this job: Join a collaborative team and make a real impact in the finance sector.
- Qualifications: At least two years of Python experience and strong Excel skills required.
- Other info: Ideal for those looking to grow their career in a supportive culture.
The predicted salary is between 30000 - 50000 £ per year.
A leading global credit intelligence provider is seeking a Data Support Developer in the UK to provide front-line support during European trading hours. You will develop tools and scripts for monitoring and reconciling client data while collaborating with both the development and project management teams. This role requires at least two years of Python experience, strong Excel skills, and the ability to troubleshoot support issues effectively. Join a culture that values growth and inclusion, advancing your career in a dynamic environment.
Data Support Engineer — Python, Client Data & Onboarding employer: Octus
Contact Detail:
Octus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Support Engineer — Python, Client Data & Onboarding
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects or any tools you've developed. 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 common technical questions related to Python and data support. We recommend practicing with a friend or using online resources to get comfortable with the format.
✨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 seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Support Engineer — Python, Client Data & Onboarding
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python experience in your application. We want to see how you've used it in real-world scenarios, so don’t hold back on those projects or tools you’ve developed!
Excel is Key: Since strong Excel skills are a must, be sure to mention any advanced functions or data manipulation techniques you’re comfortable with. We love seeing how you can leverage Excel to solve problems!
Tailor Your Application: Take a moment to customise your application for this role. We appreciate when candidates connect their experiences directly to the job description, especially around client data and support.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at Octus
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your past projects and how you've used Python to solve real-world problems, especially in data support or client onboarding scenarios.
✨Excel Skills Are Key
Since strong Excel skills are a must for this role, practice using advanced functions and data analysis techniques. You might be asked to demonstrate your proficiency, so having examples of how you've used Excel in previous roles can really set you apart.
✨Understand the Company Culture
Research the company’s values around growth and inclusion. Be prepared to discuss how you align with these values and how you can contribute to a positive team environment. This shows that you’re not just a technical fit but also a cultural one.
✨Prepare for Troubleshooting Scenarios
Think of specific examples where you've successfully troubleshot issues in the past. Be ready to walk through your thought process and the steps you took to resolve the problem. This will demonstrate your analytical skills and ability to handle support issues effectively.