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: Salary up to £90k, flexible working, and tailored personal 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 driving AI initiatives in a collaborative environment.
- Qualifications: Strong experience with Python, AWS, and data platforms; STEM degree required.
The predicted salary is between 90000 - 90000 £ 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 Slough employer: Client Server
Join a forward-thinking SaaS FinTech that champions innovation and collaboration, offering a dynamic work culture where your contributions directly impact the evolution of cutting-edge data platforms. With a competitive salary of up to £90k, flexible working arrangements, and a commitment to employee growth through mentorship and diverse experiences, this role provides an exceptional opportunity for those looking to advance their careers in a supportive environment. Embrace the chance to work remotely with occasional visits to London, all while being part of a team that values diversity and continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platform Engineer Python AWS in Slough
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with online communities. 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 taste of 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. Practise 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 just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Senior Data Platform Engineer Python AWS in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and AWS, as well as any relevant projects you've worked on. We want to see how your skills align with the role, so don’t hold back on showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background makes you a perfect fit. We love seeing enthusiasm and a bit of personality, so let us know what excites you about this opportunity.
Showcase Your Technical Skills:Since this role is hands-on, be sure to mention specific technologies and tools you've used, especially around data platforms and ETL orchestration. If you’ve worked with Amazon CDK or Luigi, give us the details – we want to know how you can contribute!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Client Server
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and AWS, especially Amazon CDK. Brush up on your knowledge of data platforms and ETL orchestration tools like Luigi. Being able to discuss your past projects and how you’ve used these technologies will show your expertise.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific 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 and highlight your impact.
✨Demonstrate Collaboration and Mentorship
Since this role involves mentoring others and working with senior stakeholders, be ready to share examples of how you’ve successfully collaborated in teams. Talk about how you’ve provided technical direction and supported colleagues in their development.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current data architecture and future plans for AI and machine learning initiatives. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
