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For Companies At a Glance
- Tasks: Design and implement cloud-native data architectures to support scientific research.
- Company: Leading Biotech firm in the vibrant Cambridge area.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Inclusive workplace with a focus on advancing careers in Life Sciences.
- Why this job: Join a team making a real difference in scientific discovery through data.
- Qualifications: Degree in a related field and experience with cloud solutions and Python.
The predicted salary is between 45000 - 60000 £ per year.
We are currently looking for a Data Engineer to join a leading Biotech based in the Cambridge area. As the Data Engineer, you will be responsible for helping to organise and display the scientific and research data that our scientific colleagues are producing.
Key Duties and Responsibilities
- Design, implement, and evolve secure, scalable, and cost-effective cloud-native data architectures on GCP or AWS.
- Develop and maintain bespoke data solutions, from back-end systems to front-end visualisations, that directly support scientific workflows.
- Lead the implementation of new data management systems and drive best practices for code development, CI/CD pipelines, and infrastructure-as-code.
- Consume and transform large volumes of scientific data from various sources (including APIs) into structured, queryable data stores.
Role Requirements
- Relevant degree in a related field.
- Proven industry experience in building cloud-native solutions (either GCP or AWS) and developing applications using Python.
- A working knowledge and practical experience with querying APIs / RESTful interfaces, database schema design, and SQL/NoSQL database administration.
Data Engineer employer: Hyper Recruitment Solutions
Contact Detail:
Hyper Recruitment Solutions 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 your connections in the biotech field, especially those who work with data. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your cloud-native solutions and data visualisations. This is your chance to demonstrate how you can turn complex scientific data into something meaningful.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of GCP or AWS. Be ready to discuss your experience with APIs and database management. We want to see how you can tackle real-world problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
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 cloud-native solutions, Python, and any relevant projects that showcase your skills in data architecture and management.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with the responsibilities listed in the job description. Be genuine and let your personality come through.
Showcase Relevant Projects: If you've worked on any projects that involved APIs, SQL/NoSQL databases, or data visualisation, make sure to mention them. We love seeing practical examples of your work that demonstrate your ability to handle scientific data.
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’re considered for the role. Plus, it makes the process smoother for everyone!
How to prepare for a job interview at Hyper Recruitment Solutions
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially GCP or AWS. Brush up on your Python skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in data engineering. Think of examples where you designed scalable data architectures or improved existing systems. This will demonstrate your ability to think critically and adapt.
✨Understand the Science Behind the Data
Since this role is in a biotech company, having a grasp of scientific workflows can set you apart. Familiarise yourself with how data supports research and be ready to discuss how your work can enhance scientific outcomes.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data strategies, team dynamics, or future projects. This shows your genuine interest and helps you assess if the company is the right fit for you.