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- Tasks: Shape and own the end-to-end data platform for analytics and ML products.
- Company: Leading London tech company with a focus on innovation.
- Benefits: Competitive salary up to £110K and excellent career growth opportunities.
- Why this job: Join a hands-on role and make an impact in the world of data engineering.
- Qualifications: Strong skills in Python, SQL, and experience with cloud data warehouses.
- Other info: Dynamic remote work environment with a focus on machine learning solutions.
The predicted salary is between 66000 - 88000 £ per year.
A leading London tech company is seeking a Lead Data Engineer to shape and own their end-to-end data platform, supporting analytics and ML products. This hands-on, senior role focuses on data engineering, system design, and enabling machine learning solutions.
Ideal candidates will have strong skills in Python and SQL, experience with cloud data warehouses like Snowflake, and knowledge of data pipelining with dbt or Airflow.
The position offers a competitive salary up to £110K and opportunities for career growth.
Lead Data Engineer — Remote, ML‑Enabled Data Platform employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer — Remote, ML‑Enabled Data Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Python, SQL, and cloud platforms like Snowflake. We want to see what you can do, so make it shine!
✨Tip Number 3
Prepare for the technical interview! Brush up on your knowledge of data pipelining with dbt or Airflow. We recommend doing mock interviews with friends or using online platforms to get comfortable with the questions you might face.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Lead Data Engineer — Remote, ML‑Enabled Data Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and cloud data warehouses like Snowflake. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about data engineering and how you can contribute to our ML-enabled data platform. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any data engineering projects, especially involving dbt or Airflow, make sure to mention them. We love seeing real-world applications of your skills, so include links or descriptions of your work!
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’s super easy!
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, and any cloud data warehouses like Snowflake. Brush up on your knowledge of dbt or Airflow as well, since these tools are crucial for the role. Being able to discuss your experience with these technologies confidently will show that you're the right fit.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data engineering and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your hands-on experience and ability to think critically about data solutions.
✨Understand the Company’s Vision
Research the company’s analytics and ML products. Understanding their goals and how your role as a Lead Data Engineer fits into that vision will impress the interviewers. It shows that you’re not just looking for a job, but that you’re genuinely interested in contributing to their success.
✨Prepare Questions to Ask
Have a few insightful questions ready to ask at the end of the interview. This could be about their current data challenges, team dynamics, or future projects. Engaging in a two-way conversation demonstrates your enthusiasm and helps you assess if the company is the right fit for you.
