At a Glance
- Tasks: Scale data lakehouse and build infrastructure for data commercialization.
- Company: Houseful Limited, a passionate team innovating in the real estate sector.
- Benefits: Hybrid work, 25 days annual leave, and 7.5% pension contribution.
- Other info: Exciting opportunity for growth in a modern data platform environment.
- Why this job: Join a dynamic team and make an impact in the data landscape.
- Qualifications: Strong Python and AWS skills, experience with Databricks.
The predicted salary is between 60000 - 80000 € per year.
Houseful Limited is hiring a Data Platform Engineer in Greater London to help scale their data lakehouse and build infrastructure for data commercialization. The ideal candidate will have strong Python and AWS skills, along with experience in modern data platforms like Databricks.
The position offers a hybrid work environment and various employee benefits, including 25 days of annual leave and 7.5% pension contribution. Join a passionate team as they innovate within the real estate sector.
Data Platform Engineer: AWS, Databricks & Lakehouse in London employer: Houseful Limited
Houseful Limited is an excellent employer, offering a dynamic work culture that fosters innovation and collaboration within the real estate sector. With a hybrid work environment, generous benefits such as 25 days of annual leave and a 7.5% pension contribution, employees are encouraged to grow and thrive in their careers while contributing to meaningful projects. Join a passionate team dedicated to scaling data solutions and making a real impact in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer: AWS, Databricks & Lakehouse in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Houseful Limited on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your Python and AWS expertise. This hands-on demonstration can really set us apart from other candidates.
✨Tip Number 3
Be ready for the tech talk! Brush up on your knowledge of Databricks and data lakehouses. We want to impress them with our understanding of their tech stack during the interview.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our approach based on what we learn about the role directly from the source.
We think you need these skills to ace Data Platform Engineer: AWS, Databricks & Lakehouse in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your Python and AWS skills, as well as any experience with Databricks. We want to see how your background aligns with the role of a Data Platform Engineer, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the opportunity at Houseful Limited and how you can contribute to scaling their data lakehouse. Let us know what makes you a great fit for the team.
Showcase Your Passion:We love seeing candidates who are genuinely passionate about data and innovation in the real estate sector. Share any personal projects or experiences that demonstrate your enthusiasm for data platforms and how they can drive business success.
Apply Through Our Website:To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure you’re considered for this exciting opportunity!
How to prepare for a job interview at Houseful Limited
✨Know Your Tech Stack
Make sure you brush up on your Python and AWS skills before the interview. Be ready to discuss specific projects where you've used these technologies, especially in relation to data platforms like Databricks. This will show that you not only understand the tools but can also apply them effectively.
✨Understand the Company’s Vision
Research Houseful Limited and their approach to data commercialization within the real estate sector. Knowing their goals and how they innovate will help you tailor your answers and demonstrate your enthusiasm for joining their passionate team.
✨Prepare for Technical Questions
Expect technical questions related to data lakehouses and infrastructure building. Practice explaining complex concepts in simple terms, as this will showcase your communication skills and ability to work collaboratively in a hybrid environment.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss challenges you've faced in previous roles and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your responses, highlighting your analytical thinking and adaptability in a fast-paced tech landscape.
