At a Glance
- Tasks: Own and scale a cutting-edge data platform while collaborating with scientists and engineers.
- Company: ADLIB, a forward-thinking company focused on global data solutions.
- Benefits: Competitive salary up to £100,000, flexible work in London, and equity options.
- Other info: Work three days a week in London with excellent career growth potential.
- Why this job: Join a dynamic team and make a real impact on innovative data systems.
- Qualifications: Strong data engineering experience, Python skills, and familiarity with BigQuery and Airflow.
The predicted salary is between 90000 - 100000 £ per year.
ADLIB is seeking a Senior Data Platform Engineer to take ownership of their growing platform and help scale it globally. You will work closely with scientists, analysts, and engineers to create scalable systems from complex workflows, with a focus on managing a GCP-first platform.
The ideal candidate has strong experience in data engineering, solid Python skills, and familiarity with tools such as BigQuery and Airflow.
This position offers a competitive salary of up to £100,000 and the opportunity to work in London three days a week.
Senior Data Platform Engineer — London (3 days/wk) Equity employer: Adlib
ADLIB is an exceptional employer that fosters a collaborative and innovative work culture, where you will have the opportunity to take ownership of a growing data platform and contribute to its global scaling. With a competitive salary and flexible working arrangements in London, employees benefit from continuous growth opportunities and the chance to work alongside talented professionals in a dynamic environment focused on cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platform Engineer — London (3 days/wk) Equity
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with GCP, Python, or tools like BigQuery and Airflow. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving scalable systems or complex workflows. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when tackling complex problems, as this will demonstrate your expertise and problem-solving skills.
✨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, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Data Platform Engineer — London (3 days/wk) Equity
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data engineering and your Python skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or tools like BigQuery and Airflow.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Senior Data Platform Engineer role and how you can contribute to scaling our platform globally. Keep it engaging and personal!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex workflows in the past. We love seeing candidates who can think critically and come up with innovative solutions, especially in a GCP-first environment.
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 Adlib
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering skills, especially in Python. Be ready to discuss your experience with GCP, BigQuery, and Airflow. Prepare examples of how you've tackled complex workflows in the past.
✨Showcase Your Collaboration Skills
Since you'll be working closely with scientists, analysts, and engineers, it's crucial to demonstrate your teamwork abilities. Think of specific instances where you've successfully collaborated on projects and how you contributed to the team's success.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Practice explaining your thought process when solving data-related problems. You might even want to do a mock interview with a friend to get comfortable with articulating your ideas.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about their current data challenges or how they envision scaling their platform globally. This shows you're genuinely interested and engaged.
