At a Glance
- Tasks: Design and build scalable services while integrating rich data sources for small businesses.
- Company: Dynamic financial technology firm based in London with a supportive culture.
- Benefits: Salary between £60,000 - £75,000, flexible working arrangements, and growth opportunities.
- Why this job: Join a team that delivers impactful insights and supports small businesses.
- Qualifications: Experience in Python and Django, plus strong communication skills.
- Other info: Embrace a culture of growth and innovation in a collaborative environment.
The predicted salary is between 60000 - 75000 £ per year.
A financial technology firm in London seeks a Back End Engineer for the Credit Compass team. This role involves designing and building scalable services, integrating rich data sources, and delivering insights to small businesses.
Candidates should have experience in Python and Django, along with strong communication skills and a product mindset.
The position offers a salary of £60,000 - £75,000 and flexible working arrangements, fostering a culture of growth and support.
Backend Engineer - Credit Insights & Data Platforms in London employer: Iwoca
Contact Detail:
Iwoca Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Backend Engineer - Credit Insights & Data Platforms in London
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space, especially those working with data platforms. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python and Django projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for the interview by understanding the company’s products and how they use data insights. We want to see that you’re not just a coder but someone who gets the bigger picture!
✨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 Backend Engineer - Credit Insights & Data Platforms in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and Django. 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 Backend Engineer position and how you can contribute to the Credit Compass team. Let your personality come through!
Show Off Your Communication Skills: Strong communication is key for us at StudySmarter. In your application, give examples of how you've effectively communicated in past roles, especially when working on collaborative projects.
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 Iwoca
✨Know Your Tech Stack
Make sure you brush up on your Python and Django skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Understand the Business Impact
Since this role involves delivering insights to small businesses, think about how your work can directly impact their success. Prepare examples of how you've previously contributed to business outcomes through your technical expertise.
✨Communicate Clearly
Strong communication skills are a must for this position. Practice explaining complex technical concepts in simple terms, as you may need to collaborate with non-technical team members or stakeholders.
✨Show Your Product Mindset
Demonstrate that you have a product mindset by discussing how you prioritise user needs in your development process. Be prepared to share examples of how you've designed scalable services with the end-user in mind.