At a Glance
- Tasks: Lead the design of scalable analytics platforms and modernise legacy systems using Python and AWS.
- Company: Client Server, a forward-thinking tech company embracing innovation.
- Benefits: Salary up to £90,000, flexible work, and additional perks.
- Other info: Join a dynamic team with opportunities for professional growth.
- Why this job: Make a real impact by supporting AI initiatives in a cutting-edge environment.
- Qualifications: Experience in Python, AWS, and building production-grade services.
The predicted salary is between 90000 - 90000 £ per year.
Client Server is seeking a Senior Data Platform Engineer to lead the design and evolution of scalable analytics platforms and ETL pipelines. This role focuses on modernising legacy systems using Python and AWS within a serverless architecture. You will build robust, production-grade services and support AI initiatives while working flexibly, with a salary of up to £90,000 and additional benefits.
Senior Data Platform Engineer (Python & AWS) - Remote employer: Client Server
At Client Server, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to innovate and excel. As a Senior Data Platform Engineer, you will enjoy the flexibility of remote work while collaborating with a talented team dedicated to modernising analytics platforms. With competitive salaries, comprehensive benefits, and ample opportunities for professional growth, we are committed to supporting your career journey in a meaningful and rewarding environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platform Engineer (Python & AWS) - Remote
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and AWS. We want to see how you’ve tackled real-world problems and built scalable solutions.
✨Tip Number 3
Prepare for the interview like it’s the final boss level! Research the company and its tech stack, and be ready to discuss how you can modernise legacy systems. We’re talking about demonstrating your expertise in serverless architecture!
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Senior Data Platform Engineer (Python & AWS) - Remote
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and AWS, especially in building scalable analytics platforms. We want to see how you've modernised legacy systems, so don’t hold back on those details!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our AI initiatives. We love seeing personality, so let us know what excites you about this role.
Showcase Your Projects:If you've worked on any relevant projects, make sure to include them! Whether it's an ETL pipeline or a serverless architecture, we want to see your hands-on experience and the impact of your work.
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!
How to prepare for a job interview at Client Server
✨Know Your Tech Stack
Make sure you’re well-versed in Python and AWS, as these are crucial for the role. Brush up on serverless architecture concepts and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced while modernising legacy systems. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking.
✨Understand the Business Impact
Be ready to explain how your work with data platforms can drive business value. Think about how scalable analytics and ETL pipelines can support AI initiatives and improve decision-making processes.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current data strategies and future goals. This shows your genuine interest in the role and helps you assess if the company aligns with your career aspirations.
