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- Tasks: Lead the design and development of scalable data systems for real-time property management.
- Company: Rapidly-scaling, VC-backed tech company revolutionising property management.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Join a collaborative team and enjoy hands-on leadership in a thriving environment.
- Why this job: Make a significant impact by shaping the future of data in a dynamic industry.
- Qualifications: Proficient in Python, SQL, and cloud data warehouses; experience with data pipelines.
The predicted salary is between 90000 - 120000 £ per year.
We are partnered with a rapidly-scaling, VC-backed Tech company transforming how property management works in real time. This is a hands-on role, where you'll define the technical direction of the data ecosystem, and build durable, production-grade data systems that power analytics and ML-driven products.
What you'll do:
- Own the end-to-end data platform
- Architect scalable data pipelines and distributed data system.
- Lead technical standards, architecture decisions, and mentor engineers
- Stay hands-on building core pipelines, schemas, and services in production
Key Requirements:
- Strong proficiency in Python and SQL
- Hands-on experience with cloud data warehouses (e.g., Snowflake or equivalent)
- Experience building and orchestrating pipelines using dbt, Airflow, or similar tools
- Familiarity with modern data tooling, CI/CD, and engineering best practices
- Exposure to machine learning systems and frameworks
If you're a software-engineer-first data leader who enjoys ownership, architecture, and building systems that last, this role offers real influence and long-term technical impact.
Lead Data Engineer - London (Hybrid) | £90k-£120k employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer - London (Hybrid) | £90k-£120k
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and data pipelines. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of cloud data warehouses and modern data tooling. Practice coding challenges and be ready to discuss your past projects in detail—this is your chance to shine!
✨Tip Number 4
Don't forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Lead Data Engineer - London (Hybrid) | £90k-£120k
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Lead Data Engineer role. Highlight your proficiency in Python, SQL, and any cloud data warehouse experience you have. We want to see how you can contribute to our data ecosystem!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how your hands-on experience aligns with our needs. Don’t forget to mention your familiarity with tools like dbt and Airflow – we love to see that!
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. Whether it’s building scalable data pipelines or working with machine learning systems, we want to know what you've done and how it relates to the role.
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 this exciting opportunity. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Oliver Bernard
✨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 used these languages, especially in building data pipelines or working with cloud data warehouses like Snowflake.
✨Showcase Your Hands-On Experience
Prepare to talk about your hands-on experience with tools like dbt and Airflow. Have examples ready that demonstrate how you've architected scalable data systems or led technical decisions in previous roles.
✨Emphasise Your Leadership Skills
Since this role involves mentoring engineers, think of instances where you've led a team or influenced architectural decisions. Highlight your ability to communicate complex ideas clearly and how you've fostered collaboration in past projects.
✨Be Ready for Technical Challenges
Expect some technical questions or challenges during the interview. Practice explaining your thought process when solving problems related to data architecture or machine learning systems, as this will show your depth of knowledge and problem-solving skills.