At a Glance
- Tasks: Design and scale data platforms, analytics pipelines, and ETL workflows using Python and AWS.
- Company: Join a leading SaaS FinTech transforming capital market tools for investment banks.
- Benefits: Competitive salary up to £90k, WFH budget, and flexible benefits package.
- Other info: Enjoy mainly remote work with opportunities for career growth and mentoring.
- Why this job: Make a real impact by modernising systems and supporting AI initiatives in a dynamic environment.
- Qualifications: Strong experience with Python, AWS, and data platforms; 2.1 or above in a STEM discipline.
The predicted salary is between 80000 - 90000 £ per year.
London, Greater London | £80k - £90k per year
Are you a technologist Data Engineer? You could be progressing your career in a senior, hands‑on technical role at a SaaS FinTech; their capital market tools are used by Investment Banks and independent research providers to automate and analyse client service and research consumption, presenting a complete overview of the client relationship made available via the Cloud.
As a Senior Data Platform Engineer, you'll lead the design and evolution of scalable analytics platforms, ETL pipelines and workflow orchestration systems that power product insights and AI‑driven capabilities. This is a hands‑on role focused on modernising legacy systems, reducing technical debt and transitioning services into a high‑performance, serverless AWS architecture.
What You’ll Do:
- Design and scale data platforms, analytics pipelines, and ETL workflows
- Build robust, production‑grade services using Python and AWS
- Develop high‑throughput APIs and scalable data infrastructure
- Improve reliability, observability, performance, and operational efficiency
- Support AI and machine learning initiatives with strong data foundations
- Drive architecture decisions and modernisation strategies across the platform
About you:
- You have strong experience with Python and AWS cloud technologies - including Amazon CDK
- You have expertise in data platforms, analytics infrastructure and ETL orchestration (they use Luigi so experience with that is beneficial)
- You have experience of moving data / ML solutions into production environments
- You have a strong understanding of scalability, latency, reliability and observability
- You're collaborative, comfortable mentoring others, provide technical direction and communicating with senior stakeholders
- You have achieved a 2.1 or above in a STEM discipline
What’s in it for you:
- Salary to £90k
- WFH office budget
- Mainly remote working (1x month in London)
- Tailored personal flexible benefits package
At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Senior Data Platform Engineer Python AWS in London employer: Client Server Ltd.
Join a forward-thinking SaaS FinTech company in London, where you'll have the opportunity to lead innovative projects as a Senior Data Platform Engineer. With a strong emphasis on employee growth, a flexible working environment, and a commitment to diversity, this role offers a unique chance to work with cutting-edge technologies while enjoying a tailored benefits package and mainly remote working arrangements. Be part of a culture that values collaboration and continuous learning, making it an excellent place for tech enthusiasts to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platform Engineer Python AWS in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals 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 showcasing your projects, especially those involving Python and AWS. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to data platforms and ETL workflows. Practice explaining your thought process clearly, as communication is key in collaborative environments.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Data Platform Engineer Python AWS in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and AWS, as these are key for the Senior Data Platform Engineer role. We want to see how your skills align with the job description, 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 data engineering and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a bit of personality!
Showcase Your Achievements:When detailing your past roles, focus on specific achievements that demonstrate your expertise in building scalable data platforms and ETL workflows. Numbers and results speak volumes, so include metrics where possible!
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 – just a few clicks and you’re done!
How to prepare for a job interview at Client Server Ltd.
✨Know Your Tech Inside Out
Make sure you brush up on your Python and AWS skills before the interview. Be ready to discuss specific projects where you've used these technologies, especially in building data platforms or ETL workflows. This will show that you’re not just familiar with the tools, but that you can apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles, particularly around modernising legacy systems or improving performance. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it clear how you tackled issues and what the outcomes were.
✨Understand Their Business
Research the company’s capital market tools and how they serve investment banks and research providers. Being able to discuss their products and how your role as a Senior Data Platform Engineer fits into their mission will demonstrate your genuine interest and help you stand out.
✨Be Ready to Collaborate
Since this role involves mentoring and working with senior stakeholders, prepare examples of how you've successfully collaborated in the past. Highlight your communication skills and how you’ve provided technical direction to others, as this will be key in showcasing your leadership potential.
