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- Tasks: Design and optimise data pipelines for real-time DNA and RNA sequencing.
- Company: Join a global leader in innovative molecular analysis technology.
- Benefits: Exciting projects, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact on groundbreaking technology that benefits society.
- Qualifications: Experience in data engineering and strong communication skills required.
- Other info: Collaborative environment with a focus on learning and innovation.
The predicted salary is between 30000 - 50000 £ per year.
Oxford Nanopore Technologies is a global leader in real-time DNA and RNA sequencing. Our platform uniquely enables analysis of any fragment length, from short to ultra-long reads, in fully scalable formats — from pocket to population scale. Our mission is bold: to enable the analysis of any living thing, by anyone, anywhere.
We are seeking a skilled Data Engineer to design, build, and optimize data pipelines that power analytics and decision-making across the business. You will develop scalable data architectures, integrate multiple data sources, and ensure high standards of data quality, security, and reliability. This is a chance to work with cutting-edge technologies in an innovative, fast-paced environment.
Responsibilities
- Maintain and evolve data infrastructure that supports analysis across a wide range of databases.
- Extract, transform, and load (ETL) data into unified data warehouses/lakes.
- Build and optimize data pipelines in collaboration with analysts and stakeholders.
- Enable reliable and secure access to business-critical insights.
What We’re Looking For
- Proven experience in data engineering and strong communication skills across technical and non-technical teams.
- Problem-solving mindset with a collaborative approach.
- Knowledge of good software development practices; exposure to data analysis or machine learning is a plus.
Essential Skills
- Python
- SQL
- Data frame tools (e.g. pandas)
Desirable Skills
- Tableau, Spotfire or similar BI tools
- Data Lakehouses (e.g. Databricks)
- AWS
- MongoDB
Why Join Us?
This is an exceptional opportunity to join a fast-growing organisation, contribute to exciting projects, and leverage new technologies that inspire change. If you are eager to learn and ready to make an impact, we’d love to hear from you.
Equal Opportunity
We are an equal opportunities employer. All applicants will be considered based on their skills, qualifications, and ability to perform the role.
Data Engineer employer: Oxford Nanopore Technologies
Contact Detail:
Oxford Nanopore Technologies 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 current employees at Oxford Nanopore Technologies on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or GitHub repository showcasing your data engineering projects. This is your chance to demonstrate your expertise in Python, SQL, and any cool data tools you've used.
✨Tip Number 3
Ace the interview! Brush up on common data engineering questions and be ready to discuss how you've tackled challenges in past projects. Remember, they want to see your problem-solving mindset in action!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our innovative team at Oxford Nanopore.
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 Python, SQL, and any data frame tools you've used. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our mission. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills: In your application, don’t forget to mention specific examples where you've tackled challenges in data engineering. We’re all about collaboration and innovation, so let us know how you’ve worked with teams to solve problems.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Oxford Nanopore Technologies
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and SQL. Brush up on data frame tools like pandas, as they’ll likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex data engineering challenges. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your collaborative approach.
✨Understand the Company’s Mission
Familiarise yourself with Oxford Nanopore Technologies' mission and how their technology impacts real-world applications. This will help you align your answers with their goals and demonstrate your genuine interest in the role.
✨Prepare Questions for Them
Have a few insightful questions ready to ask at the end of the interview. This shows your enthusiasm for the position and helps you gauge if the company culture and projects align with your career aspirations.
