At a Glance
- Tasks: Lead the data transformation and own the data platform for a leading PropTech company.
- Company: Join a forward-thinking PropTech company focused on becoming data-driven.
- Benefits: Enjoy hybrid working, autonomy in decision-making, and potential for team growth.
- Other info: Work in a dynamic environment with opportunities for career advancement.
- Why this job: Shape the future of data infrastructure and make a real impact in the industry.
- Qualifications: Experience with SQL, Python, and knowledge of modern data tools like DBT and Airflow.
The predicted salary is between 80000 - 100000 € per year.
OB has partnered with a leading PropTech company that is undergoing a data transformation and is looking for a hands-on Head of Data Engineering to take full ownership of their data platform and infrastructure, helping the organisation become more data-driven. The role is ideal for someone who has built a data function from an early stage and made it a key part of business operations. You will receive full autonomy to make decisions and shape the future data platform. The role will primarily be hands-on, with minimal people management to start, as you will scale the platform using a modern data stack with a view to growing a team in the near future.
Key skills and experience:
- Demonstrated experience with SQL & Python
- Knowledge of DBT, Airflow & Looker
- Snowflake experience or a similar data warehousing tool
- Infrastructure knowledge of AWS/GCP (you’ll be using AWS)
Hybrid working – 3 days a week required in Central London offices. To be considered, you must be UK based and sponsorship is unavailable.
Head of Data Engineering employer: Oliver Bernard
Join a forward-thinking PropTech company that values innovation and data-driven decision-making. As the Head of Data Engineering, you will enjoy a collaborative work culture that encourages autonomy and creativity, with opportunities for professional growth as you shape the future of the data platform. Located in Central London, the company offers a hybrid working model, allowing you to balance your professional and personal life while being part of a dynamic team at the forefront of the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Engineering
✨Tip Number 1
Network like a pro! Reach out to your connections in the PropTech and data engineering space. Attend meetups or webinars where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with SQL, Python, and any tools like DBT or Airflow. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on common data engineering questions and be ready to discuss your experience with AWS and data warehousing. Practising your answers will help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly shows your enthusiasm and commitment to joining the team.
We think you need these skills to ace Head of Data Engineering
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with SQL, Python, and the tools mentioned in the job description. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're the perfect fit for the Head of Data Engineering role. Share your passion for data transformation and how you've successfully built data functions in the past. Keep it engaging and personal!
Showcase Your Hands-On Experience:Since this role is hands-on, we’d love to hear about specific projects where you’ve taken ownership of data platforms. Highlight your experience with modern data stacks and any challenges you overcame along the way.
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’re considered for the role. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Stack
Make sure you brush up on SQL, Python, DBT, Airflow, and Looker. Be ready to discuss how you've used these tools in past projects. It’s not just about knowing them; show how you’ve leveraged them to drive data transformation.
✨Showcase Your Hands-On Experience
Since the role is hands-on, prepare examples of when you’ve built or scaled a data platform. Talk about the challenges you faced and how you overcame them. This will demonstrate your capability to take ownership of the data infrastructure.
✨Understand the Business Impact
Be ready to explain how a robust data function can enhance business operations. Think about how your previous work has contributed to making organisations more data-driven and be prepared to share those insights.
✨Prepare for Autonomy Questions
The role offers full autonomy, so expect questions about decision-making. Reflect on times when you had to make critical decisions independently and how those choices shaped the outcomes of your projects.
