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- Tasks: Lead the design and development of a cutting-edge data platform.
- Company: Join a forward-thinking company in the heart of London.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and leadership.
- Why this job: Shape the future of data technology and make a real impact.
- Qualifications: Proficient in Python, SQL, and cloud data warehouses like Snowflake.
The predicted salary is between 80000 - 100000 £ per year.
Oliver Bernard is seeking a hands-on data leader in the Greater London area to define the technical direction of their data ecosystem. This role involves ownership of the end-to-end data platform, architecting scalable data pipelines, and leading technical standards.
The ideal candidate will have strong proficiency in Python and SQL, and hands-on experience with cloud data warehouses like Snowflake. The position is based on-site in London for 3 days a week.
Lead Data Platform Engineer - Hybrid (London) employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Platform Engineer - Hybrid (London)
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering space on LinkedIn or at local meetups. We can’t stress enough how personal connections can lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and cloud data warehouses like Snowflake. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your data architecture knowledge. We recommend practising common data engineering problems and being ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Lead Data Platform Engineer - Hybrid (London)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your proficiency in Python and SQL in your application. We want to see how your experience aligns with the technical direction we're aiming for!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect your hands-on experience with cloud data warehouses like Snowflake. This will help us see why you’re the perfect fit for our data ecosystem.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your key achievements stand out without any fluff!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss any important updates from us!
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 technologies, especially in relation to cloud data warehouses like Snowflake. This will show that you not only understand the tools but can also apply them effectively.
✨Showcase Your Leadership Skills
As a Lead Data Platform Engineer, you'll need to demonstrate your ability to lead and influence. Prepare examples of how you've previously defined technical direction or set standards within a team. Highlight any experience you have in mentoring others or driving projects to success.
✨Understand the Company’s Data Ecosystem
Do some homework on Oliver Bernard and their current data ecosystem. Familiarise yourself with their existing platforms and any recent projects they've undertaken. This knowledge will help you tailor your answers and show that you're genuinely interested in contributing to their goals.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions that assess your problem-solving skills. Think about challenges you've encountered in previous roles and how you overcame them, particularly in architecting scalable data pipelines. Practising these scenarios will help you articulate your thought process clearly during the interview.