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- Tasks: Design and deliver scalable data pipelines for cutting-edge drug discovery.
- Company: Join the Centre for Medicines Discovery and make a real impact.
- Benefits: Full-time contract until 2029 with competitive salary and professional growth.
- Other info: Dynamic team environment with opportunities to work on complex datasets.
- Why this job: Work on high-profile initiatives and collaborate with leading organisations.
- Qualifications: Master’s degree in relevant field and strong Python skills required.
The predicted salary is between 40000 - 50000 £ per year.
Are you a skilled Data Engineer looking to apply your expertise to real-world scientific challenges? Join the Research Informatics Team at the Centre for Medicines Discovery and help power cutting‑edge drug discovery and translational science.
Responsibilities
- Play a central role in designing and delivering scalable data pipelines and systems that enable scientists to work efficiently with complex datasets.
- Collaborate closely with multidisciplinary teams across the Centre for Medicines Discovery, the Centre for Human Genetics, and the wider Nuffield Department of Medicine.
- Contribute to high‑profile initiatives such as OpenBind UK, working alongside leading organisations including Diamond Light Source and EMBL‑EBI.
- Design, implement, and maintain scalable ETL pipelines, incorporating automation, validation, quality checks, and workflow orchestration.
- Develop performant and reliable data products and services, contribute to FAIR‑compliant data management strategies, and support improvements in metadata standards, interoperability, and data provenance.
Qualifications
- Hold a Master’s degree in Computer Science, Bioinformatics, Data Science, or another relevant computational discipline.
- Experience in designing and maintaining ETL workflows and handling large, complex or heterogeneous datasets.
- Strong proficiency in Python, with experience building production‑grade data pipelines.
- Able to manage multiple concurrent projects and deliver high‑quality results to deadlines.
- A working knowledge of biology with a clear interest in biomedical data management is highly desirable.
Contract Details
This position is offered full time on a fixed‑term contract until 31 July 2029 and is funded by the Research Informatics SRF.
Data Engineer employer: University of Oxford
Contact Detail:
University of Oxford Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL pipelines and data projects. We recommend using GitHub to share your code and demonstrate your expertise in Python and data management.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We suggest practicing common data engineering scenarios and being ready to discuss your experience with complex datasets.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team at the Centre for Medicines Discovery.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with ETL workflows and any relevant projects you've worked on. We want to see how your skills align with our needs!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Include specific examples of how you've used Python to build data pipelines or manage complex datasets. This helps us see your practical experience in action.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about data engineering and how you can contribute to our team at the Centre for Medicines Discovery. Make it personal and engaging!
Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at University of Oxford
✨Know Your Data Pipelines
Make sure you brush up on your knowledge of ETL workflows and data pipelines. Be ready to discuss specific projects where you've designed or maintained these systems, as well as the challenges you faced and how you overcame them.
✨Showcase Your Python Skills
Since strong proficiency in Python is essential, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice writing clean, efficient code that showcases your ability to build production-grade data pipelines.
✨Understand the Science
Having a working knowledge of biology will set you apart. Familiarise yourself with key concepts in biomedical data management and be prepared to discuss how your technical skills can support scientific research and drug discovery.
✨Collaborate and Communicate
As this role involves working with multidisciplinary teams, highlight your collaboration skills. Prepare examples of how you've successfully worked with others in past projects, focusing on communication and teamwork to achieve common goals.