At a Glance
- 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.
- Other info: Work during European trading hours and troubleshoot support issues effectively.
- 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.
The predicted salary is between 30000 - 42000 £ 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 in London employer: Octus
As a leading global credit intelligence provider, we pride ourselves on fostering a culture of growth and inclusion, making us an excellent employer for those looking to advance their careers. Our Data Support Engineer role offers the opportunity to work in a dynamic environment where you will collaborate with talented teams while developing essential tools that impact client success. With a focus on employee development and a commitment to work-life balance, our UK location provides a supportive atmosphere for both personal and professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Data Support Engineer — Python, Client Data & Onboarding in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Support Engineer role.
✨Tip Number 2
Show off your skills! Create a GitHub repository with some of your Python projects or scripts. This gives potential employers a sneak peek into your coding abilities and problem-solving skills, which is super important for this role.
✨Tip Number 3
Prepare for those interviews! Brush up on common technical questions related to Python and data support. We recommend practising with a friend or using online resources to get comfortable with troubleshooting scenarios.
✨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 in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your Python experience and Excel skills. We want to see how your background aligns with the Data Support Engineer role, so don’t be shy about showcasing relevant projects or tools you've developed.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to our team. We love seeing genuine enthusiasm and a clear understanding of what we do.
Showcase Problem-Solving Skills:Since troubleshooting is key in this role, include examples of how you've tackled support issues in the past. We appreciate candidates who can think on their feet and come up with effective solutions!
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!
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 will definitely give you an edge.
✨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.
