At a Glance
- Tasks: Build a modern data platform using C# and Python, focusing on ETL processes.
- Company: Client Server, a leading tech firm in London with a collaborative vibe.
- Benefits: Up to £100k salary, substantial bonuses, and flexible work-from-home options.
- Other info: Great career progression opportunities in a supportive environment.
- Why this job: Join a dynamic team and make a real impact on data engineering projects.
- Qualifications: Strong skills in C# and Python, with experience in data engineering.
The predicted salary is between 90000 - 100000 € per year.
Client Server is seeking a Data Developer / Software Engineer with strong skills in C# and Python, based in London, offering up to £100k salary, substantial bonuses, and career progression opportunities.
You'll be crucial in building a modern data platform, supporting both backend development and data engineering tasks in a collaborative environment. The role involves designing and optimising ETL processes and systems, enhancing infrastructure practices, and ensuring data reliability.
Flexibility with work-from-home is also available once a week.
Data Platform Engineer (C# / Python) – ETL & Data Lakes in London employer: Client Server
At Client Server, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. Our London-based team enjoys competitive salaries, substantial bonuses, and ample opportunities for career progression, all while benefiting from flexible work arrangements. Join us to be part of a forward-thinking company where your contributions to building a modern data platform will be valued and rewarded.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer (C# / Python) – ETL & Data Lakes in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your C# and Python projects, especially those related to ETL processes and data lakes. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to data platforms. 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 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 Data Platform Engineer (C# / Python) – ETL & Data Lakes in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with C# and Python in your application. We want to see how you've used these languages in real projects, especially in ETL processes or data engineering tasks.
Tailor Your Application:Don’t just send a generic CV! Tailor your application to reflect the job description. Mention specific experiences that relate to building data platforms and optimising systems, as this will catch our eye.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points if necessary to make your achievements stand out!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to showcase your skills directly to us!
How to prepare for a job interview at Client Server
✨Know Your Tech Inside Out
Make sure you brush up on your C# and Python skills before the interview. Be ready to discuss specific projects where you've used these languages, especially in ETL processes or data lakes. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about how you would approach optimising ETL processes or enhancing infrastructure practices. Practising common coding problems can help you articulate your thought process clearly.
✨Understand the Company’s Data Needs
Research Client Server and their data platform goals. Knowing what they’re looking for in a Data Platform Engineer will allow you to tailor your answers and demonstrate how your skills align with their needs. It shows genuine interest and initiative.
✨Be Ready for Collaboration Questions
Since the role involves working in a collaborative environment, be prepared to discuss your experience working in teams. Share examples of how you’ve successfully collaborated on projects, resolved conflicts, or contributed to a positive team dynamic.
