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- Tasks: Build and maintain backend services for automating financial workflows using Python.
- Company: Leading financial data platform with a focus on innovation.
- Benefits: Fully remote role, flexible hours, and potential for contract extensions.
- Why this job: Join a high-profile project and make an impact in the finance sector.
- Qualifications: 4+ years of Python experience, ideally in asset management or investment banking.
- Other info: Opportunity to work on cloud-native solutions in a dynamic environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading financial data platform company seeks a Python Engineer for a high-profile project in the UK. This hands-on role focuses on building and maintaining backend services that automate complex financial workflows.
Candidates should have over 4 years of production Python experience, preferably in asset management or investment banking, and will design and implement cloud-native solutions on GCP.
This role is fully remote, primarily for UK-based professionals, and offers a rolling 6-month contract with extensions possible.
Remote UK Python Backend Engineer - Financial Data Pipelines employer: Orbis Group
Contact Detail:
Orbis Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote UK Python Backend Engineer - Financial Data Pipelines
✨Tip Number 1
Network like a pro! Reach out to fellow Python developers or financial data enthusiasts on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects, especially those related to financial workflows. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for the interview by brushing up on cloud-native solutions and GCP specifics. We recommend doing mock interviews with friends or using online platforms to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Remote UK Python Backend Engineer - Financial Data Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python experience, especially in financial contexts like asset management or investment banking. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about building backend services and how your experience can contribute to our high-profile projects. Keep it engaging and personal – we love to see your personality!
Showcase Your Cloud Skills: Since this role involves designing cloud-native solutions on GCP, make sure to mention any relevant experience you have with cloud technologies. We’re keen to know how you’ve used these tools in past projects to automate workflows.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Orbis Group
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially the libraries and frameworks relevant to backend development. Be prepared to discuss your past projects in detail, focusing on how you've used Python to solve complex problems in financial workflows.
✨Understand Financial Data Workflows
Since this role is centred around financial data pipelines, it’s crucial to have a solid understanding of how these workflows operate. Familiarise yourself with concepts from asset management or investment banking, as this knowledge will help you stand out during the interview.
✨Cloud-Native Solutions are Key
As the role involves designing cloud-native solutions on GCP, make sure you can talk about your experience with cloud technologies. Be ready to explain how you've implemented scalable solutions in the cloud and any challenges you faced along the way.
✨Prepare for Technical Challenges
Expect technical questions or coding challenges during the interview. Practice common algorithms and data structures, and be ready to demonstrate your problem-solving skills live. This will show your potential employer that you can think on your feet and tackle real-world issues.
