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For Companies At a Glance
- Tasks: Design and optimise data pipelines for impactful analytics and decision-making.
- Company: Join a global leader in real-time DNA and RNA sequencing.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Work with cutting-edge tech and make a real difference in data analysis.
- Qualifications: Experience in data engineering and strong communication skills required.
- Other info: Fast-paced environment with exciting projects and learning opportunities.
The predicted salary is between 28800 - 48000 £ per year.
About Oxford Nanopore Technologies
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.
The Role
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.
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 mini-project or a portfolio that highlights your data engineering prowess. This is your chance to demonstrate how you can build and optimise data pipelines.
✨Tip Number 3
Ace the interview! Brush up on your Python and SQL skills, and be ready to discuss how you've tackled data challenges in the past. We love problem-solvers who can communicate effectively!
✨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 team at Oxford Nanopore Technologies.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and showcases your skills in Python and SQL. We want to see how your background aligns with the role, so don’t be shy about including relevant projects or achievements!
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 at Oxford Nanopore Technologies. Keep it concise but impactful!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We love a good problem-solver, so share specific instances where your collaborative approach made a difference!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our innovative team at Oxford Nanopore Technologies!
How to prepare for a job interview at Oxford Nanopore Technologies
✨Know Your Data Tools
Familiarise yourself with the specific tools mentioned in the job description, like Python, SQL, and data frame tools such as pandas. Be ready to discuss how you've used these in past projects, as this will show your practical experience and understanding of the role.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your problem-solving mindset. Think of challenges you've faced in data engineering and how you collaborated with teams to overcome them. This will demonstrate your ability to work well with both technical and non-technical stakeholders.
✨Understand the Company’s Mission
Research Oxford Nanopore Technologies and their mission to enable analysis of any living thing. Be prepared to discuss how your skills can contribute to this goal, showing that you're not just looking for a job, but are genuinely interested in making an impact.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data infrastructure and future projects. This shows your enthusiasm for the role and helps you gauge if the company is the right fit for you. It’s a two-way street, after all!
