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 innovative data solutions.
- Benefits: Competitive salary up to £100,000, flexible work schedule, and equity options.
- Other info: Work in London three days a week with excellent career growth potential.
- Why this job: Join a dynamic team and make a significant impact on global data systems.
- Qualifications: Strong data engineering experience, Python skills, and familiarity with BigQuery and Airflow.
The predicted salary is between 100000 - 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 excellent employer that fosters a collaborative and innovative work culture, where you will have the opportunity to work alongside talented scientists, analysts, and engineers in the heart of London. With a strong focus on employee growth, we offer competitive salaries, flexible working arrangements, and the chance to take ownership of impactful projects on a global scale, making your contributions truly meaningful.
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 folks in the industry, especially those already working at ADLIB or similar companies. A friendly chat can sometimes lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects showcasing your data engineering prowess, make sure to highlight that during interviews. It’s a great way to demonstrate your experience with Python and tools like BigQuery and Airflow.
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges related to data engineering and be ready to discuss how you’ve tackled complex workflows in the past.
✨Tip Number 4
Don’t forget to 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 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 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. Let us know what makes you tick!
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’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Adlib
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, BigQuery, and Airflow. Brush up on your data engineering principles and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in data engineering and how you overcame them. Use examples that highlight your ability to create scalable systems from complex workflows, as this is key for the role.
✨Understand GCP Fundamentals
Since the role focuses on a GCP-first platform, make sure you understand the basics of Google Cloud Platform. Familiarise yourself with its services and how they can be leveraged for data engineering tasks.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy and future plans for scaling the platform. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
