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- Tasks: Design and optimise scalable ETL/ELT pipelines using Airflow for cutting-edge AI projects.
- Company: Leading AI company in London with a friendly, informal culture.
- Benefits: Work remotely with an international team and enjoy a collaborative environment.
- Why this job: Join the forefront of biotechnology and make a real impact in AI research.
- Qualifications: 5+ years experience in data engineering, proficient in Python and SQL.
- Other info: Great opportunity for career growth in a dynamic field.
The predicted salary is between 55000 - 77000 £ per year.
A leading AI company in London is seeking a Data Engineer to design, build, and optimize scalable ETL/ELT pipelines using Airflow. The ideal candidate will have over 5 years of experience, proficiency in Python and SQL, and a solid background in data architecture for ML and AI research. You will collaborate with diverse stakeholders while managing complex data systems. The position offers a friendly, informal working environment and the opportunity to work with an international team at the forefront of biotechnology.
Remote Biotech Data Engineer — AI Pipelines in London employer: Owkin
Contact Detail:
Owkin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Biotech Data Engineer — AI Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to people in the biotech and AI sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about hidden job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL/ELT projects, especially those using Airflow. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss your experience with data architecture and how it relates to ML and AI research. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Remote Biotech Data Engineer — AI Pipelines in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ETL/ELT pipelines and showcases your proficiency in Python and SQL. We want to see how your skills align with the role, so don’t hold back on those relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background in data architecture can contribute to our AI pipelines. Keep it friendly and informal, just like us!
Showcase Your Collaboration Skills: Since you'll be working with diverse stakeholders, highlight any past experiences where you’ve successfully collaborated on complex data systems. We love seeing teamwork in action, so share those stories!
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 don’t miss out on any important updates. Plus, we can’t wait to meet you!
How to prepare for a job interview at Owkin
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss your experience with ETL/ELT pipelines and how you've used Airflow in past projects. The more specific examples you can provide, the better!
✨Showcase Your Collaboration Skills
Since you'll be working with diverse stakeholders, it's crucial to demonstrate your ability to communicate effectively. Prepare examples of how you've collaborated with different teams in the past, especially in complex data systems.
✨Understand the Company’s Vision
Research the company’s role in biotechnology and AI. Familiarise yourself with their projects and values. This will not only help you answer questions but also show your genuine interest in being part of their team.
✨Prepare for Problem-Solving Questions
Expect to tackle some technical challenges during the interview. Practice common data engineering problems and think through your approach. Being able to articulate your thought process is just as important as getting the right answer!