At a Glance
- 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 43200 - 72000 £ 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 employer: Owkin
Contact Detail:
Owkin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Biotech Data Engineer — AI Pipelines
✨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 show off your expertise.
✨Tip Number 2
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss your experience with ETL/ELT pipelines. We recommend practising common interview questions related to data architecture and machine learning.
✨Tip Number 3
Showcase your projects! If you've worked on any cool data engineering projects, make sure to highlight them during interviews. We love seeing real-world applications of your skills, especially in biotech and AI.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals who are passionate about data engineering and want to make an impact in the biotech field.
We think you need these skills to ace Remote Biotech Data Engineer — AI Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ETL/ELT pipelines, Python, and SQL. 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! 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 team players who can communicate effectively!
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 from our team!
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 or departments in previous roles, highlighting any challenges you overcame.
✨Understand the Company’s Vision
Research the company’s focus on AI and biotechnology. Familiarise yourself with their recent projects or innovations. This will not only show your interest but also help you align your answers with their goals during the interview.
✨Prepare Questions to Ask
Interviews are a two-way street! Think of insightful questions to ask about the team dynamics, the technologies they use, or future projects. This shows your enthusiasm for the role and helps you gauge if it’s the right fit for you.