At a Glance
- Tasks: Design and maintain scalable ETL/ELT pipelines on Google Cloud Platform.
- Company: Join a forward-thinking tech company in Greater London.
- Benefits: Competitive salary, flexible work options, and opportunities for growth.
- Other info: Dynamic team environment with exciting projects and career advancement.
- Why this job: Make an impact by optimising data systems and supporting analytics.
- Qualifications: 2-5 years of Data Engineering experience with strong Python and SQL skills.
The predicted salary is between 50000 - 60000 € per year.
Switch Tech Talent is looking for a Data Engineer in Greater London to help build and scale their data platform. You will design and maintain ETL/ELT pipelines, optimize data systems, and support analytics.
The ideal candidate has 2–5 years of experience in Data Engineering, strong skills in Python and SQL, and hands-on experience with Google Cloud Platform (GCP). If this role interests you, please apply to discuss further.
Data Engineer: Build Scalable GCP Pipelines in London employer: Switch Tech Talent
At Switch Tech Talent, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. Located in the vibrant Greater London area, we offer competitive benefits, continuous professional development opportunities, and a collaborative environment where innovation is encouraged. Join us to be part of a forward-thinking team dedicated to building scalable data solutions that make a real impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer: Build Scalable GCP Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other Data Engineers. 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 GCP, Python, and SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common Data Engineering questions and practical tests. We recommend practicing coding challenges and discussing your past projects to demonstrate your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates who are eager to join our team.
We think you need these skills to ace Data Engineer: Build Scalable GCP Pipelines in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in Data Engineering, especially with Python, SQL, and GCP. We want to see how your skills match 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 building scalable data pipelines and how your background makes you a great fit for our team. Keep it engaging and personal!
Showcase Your Projects:If you've worked on any cool data projects, make sure to mention them! We love seeing practical examples of your work, especially if they involve ETL/ELT processes or optimising data systems. It gives us a taste of what you can bring to the table.
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. Plus, we love seeing applications come in through our own channels!
How to prepare for a job interview at Switch Tech Talent
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've designed or maintained ETL/ELT pipelines, as well as any challenges you faced and how you overcame them.
✨GCP Familiarity is Key
Since this role involves Google Cloud Platform, ensure you can talk about your hands-on experience with GCP. Prepare examples of how you've used GCP to optimise data systems or support analytics in previous roles.
✨Showcase Your Problem-Solving Skills
Data Engineering often involves troubleshooting and optimising processes. Think of a time when you had to solve a complex problem related to data pipelines and be ready to explain your thought process and the outcome.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare some thoughtful questions about the company's data platform and future projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
