At a Glance
- Tasks: Scale a data lakehouse and build infrastructure for innovative data products.
- Company: Join Houseful, a diverse and supportive tech company in Greater London.
- Benefits: Enjoy flexible working options and comprehensive benefits.
- Other info: Great opportunity for career growth in a dynamic environment.
- Why this job: Make an impact by designing reusable templates and working with cutting-edge technologies.
- Qualifications: Strong Python and SQL skills, plus experience with AWS and Terraform.
The predicted salary is between 60000 - 80000 € per year.
Houseful is looking for a Data Platform Engineer in Greater London. The role involves scaling a data lakehouse, building infrastructure for data products, and designing reusable templates. Ideal candidates should have strong Python and SQL skills, alongside experience with AWS and Terraform.
Join Houseful, a company committed to diversity and providing a supportive work environment with flexible working options and comprehensive benefits.
Hybrid Data Platform Engineer — AWS, Databricks, Lakehouse in London employer: Houseful
Houseful is an exceptional employer located in Greater London, offering a dynamic work culture that prioritises diversity and inclusivity. With flexible working options and comprehensive benefits, employees are encouraged to grow their skills in a supportive environment while contributing to innovative data solutions. Join us to be part of a forward-thinking team that values your contributions and fosters professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Data Platform Engineer — AWS, Databricks, Lakehouse in London
✨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 Python and SQL projects, especially those involving AWS and Databricks. This gives you a chance to shine beyond the application.
✨Tip Number 3
Prepare for the interview by practising common questions related to data engineering. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Hybrid Data Platform Engineer — AWS, Databricks, Lakehouse in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your Python and SQL skills in your application. We want to see how you've used these tools in real projects, especially if you've worked with AWS and Terraform.
Tailor Your Application:Don’t just send a generic CV! Tailor your application to the Data Platform Engineer role. Mention specific experiences that relate to scaling data lakehouses or building infrastructure for data products.
Be Yourself:We value diversity and authenticity, so let your personality shine through in your application. Share what makes you unique and how you can contribute to our supportive work environment.
Apply Through Our Website:For the best chance of success, apply directly through our website. It’s the easiest way for us to review your application and get back to you quickly!
How to prepare for a job interview at Houseful
✨Know Your Tech Stack
Make sure you brush up on your Python, SQL, AWS, and Terraform skills. Be ready to discuss how you've used these technologies in past projects. It’s a great way to show you’re not just familiar with them but can actually apply them in real-world scenarios.
✨Understand the Data Lakehouse Concept
Familiarise yourself with the data lakehouse architecture and its benefits. Be prepared to explain how you would approach scaling a data lakehouse and what challenges you might face. This shows that you’re not only technically savvy but also strategic in your thinking.
✨Prepare Questions About Company Culture
Since Houseful values diversity and a supportive work environment, think of questions that reflect your interest in their culture. Ask about their approach to flexible working or how they support team collaboration. This demonstrates that you’re looking for a good fit, not just a job.
✨Showcase Your Problem-Solving Skills
Be ready to tackle hypothetical scenarios or case studies during the interview. Think about how you would design reusable templates or build infrastructure for data products. This is your chance to shine by showcasing your analytical skills and creativity in problem-solving.
