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 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
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your C# and Python projects, especially those related to ETL and data lakes. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios. Practice explaining your thought process when tackling data engineering challenges – it’s all about showing how you think!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly can sometimes give you an edge.
We think you need these skills to ace Data Platform Engineer (C# / Python) – ETL & Data Lakes
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your skills in C# and Python, as these are key for the Data Platform Engineer role. We want to see how your experience aligns with building modern data platforms and optimising ETL processes.
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 you can contribute to our collaborative environment. We love seeing enthusiasm and a good fit for our team culture.
Showcase Relevant Projects:If you've worked on any projects involving data lakes or ETL processes, make sure to mention them! We appreciate real-world examples that demonstrate your problem-solving skills and technical expertise.
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 don’t miss out on any important updates during the process!
How to prepare for a job interview at Client Server
✨Know Your Tech Stack
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 relation to ETL processes and data lakes. This will show that you not only understand the theory but have practical experience too.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles, particularly around data reliability and infrastructure practices. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for the interviewer to see how you approach problem-solving.
✨Understand the Company’s Needs
Research Client Server and their current projects or technologies they are using. Tailor your responses to demonstrate how your skills can directly benefit their goals, especially in building a modern data platform. This shows genuine interest and initiative.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the tools they use, and their approach to data engineering. This not only shows your enthusiasm for the role but also helps you gauge if the company culture aligns with your values.
