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- Tasks: Lead data transformation efforts and influence tech direction for a top PropTech company.
- Company: Dynamic PropTech firm with a focus on innovation and data-driven solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Join a collaborative team and shape the future of data in PropTech.
- Why this job: Make a real impact on data architecture while working in vibrant Central London.
- Qualifications: Strong SQL and Python skills, plus experience with DBT, Airflow, and Looker.
The predicted salary is between 70000 - 90000 £ per year.
Oliver Bernard is seeking a Data Engineer to lead Data transformation efforts for a leading PropTech company. This role requires significant experience with SQL and Python, along with familiarity with tools like DBT, Airflow, and Looker.
The ideal candidate will work hybrid, with three days a week in Central London offices, and will have substantial influence on the tech direction and architecture of the Data platform.
Please note that sponsorship is unavailable, and candidates must be UK based.
Lead Data Engineer - Hybrid London, AWS & Snowflake employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer - Hybrid London, AWS & Snowflake
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. 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 SQL and Python projects, especially if you've worked with DBT, Airflow, or Looker. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process and how you've tackled challenges in past projects—this will help you stand out!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Lead Data Engineer - Hybrid London, AWS & Snowflake
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and any relevant tools like DBT and Airflow. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Lead Data Engineer position. Share your passion for data transformation and how you can influence the tech direction at our company.
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve AWS or Snowflake. It gives us a glimpse into your hands-on experience.
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’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these languages, and think about how you've implemented tools like DBT, Airflow, and Looker in your previous roles.
✨Showcase Your Leadership Skills
As a Lead Data Engineer, you'll need to demonstrate your ability to lead data transformation efforts. Prepare examples of how you've influenced tech direction and architecture in past positions, and be ready to discuss your approach to mentoring junior team members.
✨Understand the PropTech Landscape
Familiarise yourself with the PropTech industry and the specific challenges it faces. This will help you tailor your answers to show how your skills can directly benefit the company and its data platform.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and future projects. This not only shows your interest but also gives you a chance to assess if the company aligns with your career goals.