At a Glance
- Tasks: Join a specialised team to develop a cutting-edge SaaS analytics platform for the insurance industry.
- Company: Award-winning tech company focused on innovative software solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement opportunities in a collaborative environment.
- Why this job: Tackle technical challenges and make a real impact with large datasets and analytical pipelines.
- Qualifications: Strong Python skills and experience with large dataset management and cloud environments.
The predicted salary is between 60000 - 80000 € per year.
Interested in being part of a growing, specialised team developing an award-winning SaaS analytics platform used to assess over £200bn of non-life insurance business? This is a mid to senior level software engineering role focused heavily on production-grade Python development. This is not a web-facing CRUD or API-endpoint development role. The core focus of this position is building high-performance computational pipelines, optimising memory for large datasets, and engineering mathematical/analytical engines. You will need relevant experience in this space to be considered. This is a hybrid role based in London (2 days per week in office).
The role:
- Technical Challenge: Take ownership of performance bottlenecks involving 4GB+ datasets.
- Architectural Input: Taking new features from conception to deployment.
- Production-Grade Python: Apply software engineering best practices including OOP, unit testing, and CI/CD.
- Mathematical/ Financial Logic: Translating complex analytical, mathematical, or financial logic into reusable, production-grade software tools.
What We Are Looking For:
- Production-Grade Python: Strong experience writing clean, modular, and maintainable Python code (classes/functions, separation of concerns) within a professional software engineering environment.
- Large Dataset Management: Proven track record of preventing memory overheads and optimizing execution speeds when manipulating massive (GB-scale) datasets. Focusing on performance bottlenecks via vectorisation, parallelism, chunking, or memory optimization.
- Analytical Pipelines: Experience building end-to-end analytical pipelines (data ingestion → computational transformation → modelling → output) rather than one-off analyses.
- Cloud Environments: Hands-on exposure to deploying and managing applications within a cloud environment (AWS, GCP, or Azure) and an understanding of how components fit together (API → compute → storage).
Backend Software Engineer (Python) in Slough employer: The Emerald Group Ltd, Search and Selection
Join a dynamic and innovative team in London, where your expertise as a Backend Software Engineer will contribute to the development of a cutting-edge SaaS analytics platform. We offer a collaborative work culture that values technical excellence and encourages professional growth through challenging projects and mentorship opportunities. With a hybrid working model, you can enjoy the flexibility of remote work while being part of a vibrant office environment two days a week.
Contact Detail:
The Emerald Group Ltd, Search and Selection Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Backend Software Engineer (Python) in Slough
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects, especially those involving large datasets or analytical pipelines. This gives employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges that focus on performance optimisation and memory management. We recommend platforms like LeetCode or HackerRank to get you started.
✨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 genuinely interested in joining our team.
We think you need these skills to ace Backend Software Engineer (Python) in Slough
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your experience with production-grade Python development. We want to see examples of clean, modular code you've written, so don’t hold back on showcasing your best work!
Talk About Big Data:Since we’re dealing with massive datasets, it’s crucial to mention your experience in managing and optimising large data. Share specific instances where you tackled performance bottlenecks or improved execution speeds.
Demonstrate Your Analytical Mindset:We love candidates who can translate complex mathematical or financial logic into software tools. Include any relevant projects where you’ve built analytical pipelines or worked on similar challenges.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at The Emerald Group Ltd, Search and Selection
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially around production-grade development. Be ready to discuss OOP principles, unit testing, and CI/CD practices. Prepare examples of your past work where you've written clean, modular code.
✨Showcase Your Data Management Skills
Be prepared to talk about your experience with large datasets. Think of specific instances where you've optimised memory usage or improved execution speeds. Highlight techniques like vectorisation and parallelism that you've successfully implemented.
✨Demonstrate Your Analytical Pipeline Experience
Have a clear understanding of the end-to-end analytical pipeline process. Be ready to explain how you've built these pipelines in the past, from data ingestion to output. Use concrete examples to illustrate your experience and problem-solving skills.
✨Familiarise Yourself with Cloud Environments
Since this role involves cloud deployment, make sure you know your way around AWS, GCP, or Azure. Be ready to discuss how you've managed applications in these environments and how different components interact within the cloud.
