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 employer: Houseful Limited
Alto Software Group (ASG) is an exceptional employer, offering a dynamic work environment where innovation meets operational efficiency. As a contract AI Engineer, you will play a pivotal role in shaping the future of the UK property industry through cutting-edge AI solutions, all while enjoying a collaborative culture that prioritises employee growth and development. With a focus on meaningful contributions and a commitment to excellence, ASG provides unique opportunities to enhance your skills and make a tangible impact in a thriving B2B SaaS landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer: AWS, Databricks & Lakehouse
✨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 case study that highlights your Python and AWS expertise. This will not only impress the hiring team but also demonstrate your hands-on experience with data platforms.
✨Tip Number 3
Be ready for technical interviews! Brush up on your knowledge of Databricks and lakehouse architecture. We recommend practicing common interview questions and coding challenges to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who want to innovate in the real estate sector!
We think you need these skills to ace Data Platform Engineer: AWS, Databricks & Lakehouse
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your Python and AWS expertise in your application. We want to see how your experience aligns with the role, especially if you've worked with Databricks or similar platforms.
Tailor Your Application:Don’t just send a generic CV! Customise your application to reflect the specific requirements of the Data Platform Engineer position. We love seeing candidates who take the time to connect their skills to our needs.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the point about why you’re the right fit for us.
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 from our team!
How to prepare for a job interview at Houseful Limited
✨Know Your Tech Inside Out
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 in 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 Practical Scenarios
Expect technical questions or practical scenarios during the interview. Practice explaining how you would scale a data lakehouse or build infrastructure for data projects. This hands-on approach will highlight your problem-solving skills and technical expertise.
✨Ask Insightful Questions
Prepare some thoughtful questions about the role and the team dynamics. Inquire about the challenges they face with their data platform or how they envision the future of their data strategy. This shows your genuine interest and helps you assess if the company is the right fit for you.
