At a Glance
- Tasks: Build microservices and real-time data pipelines for a cutting-edge self-serve platform.
- Company: One of the UK's fastest-growing fintech companies, disrupting payments across Europe.
- Benefits: Competitive salary up to £125k, hybrid work, and a focus on professional growth.
- Other info: Collaborate with top engineers and explore AI/ML technologies in a dynamic office-first culture.
- Why this job: Make a real impact in a hyper-growth environment with full autonomy over tech choices.
- Qualifications: Experience in Java, Python, or Go; knowledge of Kubernetes and cloud infrastructure.
The predicted salary is between 72000 - 108000 £ per year.
One of the UK's fastest-growing technology companies in London (Hybrid) is building the next-generation self-serve data platform that powers billions in transactions for tens of thousands of merchants across Europe. This platform lets product, engineering, and analytics teams own, process, and act on their data independently.
Why this role stands out:
- High-impact: Your work powers real-time payments and business-critical insights.
- Cutting-edge tech stack: Flink, Kubernetes, AWS & GCP, event-driven pipelines.
- Autonomy: Build self-serve tools and shape the platform architecture.
- AI exposure: Work on systems ready for ML models and AI agents.
- Cross-functional influence: Partner with engineers, product teams, and stakeholders to define and deliver solutions.
What you'll do:
- Build microservices, libraries, and real-time data pipelines.
- Develop self-serve tooling for internal teams, improving developer experience and platform adoption.
- Operate and scale systems across multi-cloud environments.
- Collaborate with technical and non-technical teams to define upstream data contracts.
- Explore and integrate new technologies, with optional exposure to AI/ML agents.
What we're looking for:
- Hands-on experience in Java, Python, or Go building scalable backend systems.
- Knowledge of Kubernetes, cloud infrastructure, and event-driven pipelines.
- Strong problem-solving skills and systems thinking.
- Collaborative approach, able to influence technical and non-technical stakeholders.
- Curious, relentless, and customer-obsessed mindset.
- Exposure to AI/ML pipelines or agents is a strong plus.
Why join?
- Hyper-growth fintech disrupting payments in Europe.
- Build infrastructure that directly impacts the business, your work matters.
- Full autonomy to choose the tech and shape the platform.
- Collaborate with world-class engineers solving real-time, high-scale challenges.
- Office-first culture with focus, collaboration, and big ideas.
Platform Engineer in London employer: Omnis Partners
As the Head of Marketing Effectiveness for a leading global consumer brand based in London, you will thrive in a dynamic and innovative work culture that prioritises creativity and collaboration. The company offers competitive compensation, robust employee growth opportunities, and a hybrid working model that promotes work-life balance, making it an excellent employer for those seeking meaningful and rewarding careers in marketing.
StudySmarter Expert Advice🤫
We think this is how you could land Platform Engineer in London
✨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 portfolio or GitHub repository showcasing your projects, especially those involving Java, Python, or Go. This gives you a chance to demonstrate your hands-on experience and problem-solving abilities.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to microservices, cloud infrastructure, and collaboration. We want you to shine!
✨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 Platform Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Platform Engineer role. Highlight your hands-on experience with Java, Python, or Go, and don’t forget to mention any work with Kubernetes or cloud infrastructure.
Craft a Compelling Cover Letter:Your cover letter is your chance to show us your personality and passion for the role. Explain why you’re excited about building self-serve tools and how your collaborative approach can influence both technical and non-technical teams.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex problems in the past. We love candidates who are curious and relentless, so share stories that demonstrate your systems thinking and innovative mindset.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to see your application and get you into our hiring process. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Omnis Partners
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Java, Python, Kubernetes, and AWS. Brush up on your knowledge of event-driven pipelines and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in building scalable backend systems. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your systems thinking approach.
✨Demonstrate Collaboration
Since this role involves working with both technical and non-technical teams, think of instances where you’ve successfully influenced stakeholders. Be ready to discuss how you’ve communicated complex ideas clearly and effectively.
✨Express Your Curiosity
Show your passion for exploring new technologies, especially in AI/ML. Share any personal projects or learning experiences that demonstrate your relentless curiosity and customer-obsessed mindset. This will resonate well with the company’s culture.
