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For Companies At a Glance
- Tasks: Design and build scalable data pipelines using Databricks and PySpark.
- Company: Fast-growing Life Sciences company making a real impact.
- Benefits: Salary up to £100k, bonus, and career progression.
- Why this job: Shape the future of data engineering in a mission-driven environment.
- Qualifications: Strong experience with Databricks, PySpark, and AWS.
- Other info: High-autonomy culture with opportunities for innovation and learning.
The predicted salary is between 75000 - 100000 £ per year.
Are you a Senior Data Engineer who wants to make a real impact in a sector that genuinely changes lives? This is an opportunity to join a fast‑scaling Life Sciences company that’s using data engineering to accelerate breakthroughs, modernise clinical workflows, and improve outcomes at global scale. This isn’t a corporate machine; it’s a high‑growth, science‑driven tech environment where your work directly shapes the products, platforms and decisions that matter.
Why this role
- Join a mission‑led scale‑up backed by strong funding and rapid growth.
- Own modern data engineering across Databricks, PySpark and AWS.
- Work in a high‑autonomy, engineering‑first culture where your ideas are valued.
- Build scalable pipelines that support product innovation, experimentation and advanced analytics in the Life Sciences domain.
- Collaborate with exceptional Data Scientists, ML Engineers and Product teams.
- Shape the future of a data platform that’s expanding globally.
What you’ll be working on
- Designing and building scalable data pipelines using PySpark and Databricks.
- Developing and optimising data processing workflows in an AWS cloud‑native environment.
- Building clean, production‑ready datasets for analytics, ML and operational use.
- Ensuring data quality, governance and best practice across engineering.
- Working alongside cross‑functional teams to deliver high‑impact data solutions.
- Improving performance, reliability and automation across the entire data estate.
What we’re looking for
- Strong experience as a Data Engineer or Senior Data Engineer.
- Deep hands‑on expertise with Databricks and PySpark.
- Solid background in AWS (Lambda, Glue, S3, Redshift or similar).
- Understanding of modern data warehousing, orchestration and CI/CD.
- A proactive mindset and the ability to thrive in a fast‑paced scale‑up.
- Life Sciences experience is a bonus but not essential. What matters is strong engineering capability and the ambition to build something meaningful.
What’s in it for you
- Salary up to £100k + bonus.
- Work that genuinely contributes to Life Science innovation.
- Freedom to shape engineering, tooling and platform decisions.
- A culture built around learning, autonomy and modern engineering.
- Real career progression as the business continues to scale.
If you’re a Senior Data Engineer who wants to work with cutting‑edge tech while contributing to something bigger, I’d love to tell you more.
Senior Data Engineer | Life Sciences | £75k to £100k + Bonus | Databricks & AWS employer: Opus Recruitment Solutions
Contact Detail:
Opus Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer | Life Sciences | £75k to £100k + Bonus | Databricks & AWS
✨Tip Number 1
Network like a pro! Reach out to people in the Life Sciences sector, especially those working with data engineering. Attend meetups or webinars, and don’t be shy to slide into DMs on LinkedIn – you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Databricks, PySpark, and AWS. This is your chance to demonstrate your expertise and passion for data engineering, making it easier for potential employers to see what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering challenges and solutions. Be ready to discuss how you've tackled similar problems in the past, especially in a fast-paced environment. Remember, they want to see your thought process and how you approach real-world scenarios.
✨Tip Number 4
Don’t forget to apply through our website! We’re all about finding the right fit for our team, and applying directly can give you an edge. Plus, it shows you’re genuinely interested in being part of our mission-driven culture.
We think you need these skills to ace Senior Data Engineer | Life Sciences | £75k to £100k + Bonus | Databricks & AWS
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Data Engineer role. Highlight your expertise in Databricks, PySpark, and AWS, and don’t forget to mention any relevant projects that showcase your impact in the Life Sciences sector.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data engineering and how you can contribute to our mission. Be specific about your achievements and how they relate to the role we’re offering.
Showcase Your Projects: If you’ve worked on any interesting data projects, make sure to include them in your application. We love seeing real-world applications of your skills, especially if they involve building scalable data pipelines or optimising workflows in cloud environments.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Opus Recruitment Solutions
✨Know Your Tech Inside Out
Make sure you brush up on your Databricks, PySpark, and AWS skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've built scalable data pipelines or optimised workflows in previous roles. Highlight your thought process and the impact your solutions had on the team or project.
✨Understand the Life Sciences Context
Even if you don't have direct experience in Life Sciences, do some research on how data engineering is transforming this sector. Being able to speak about its importance will show your genuine interest in the role and the company's mission.
✨Emphasise Collaboration and Autonomy
This role values a high-autonomy culture, so be prepared to discuss how you've worked effectively in cross-functional teams. Share instances where your ideas were implemented and how you contributed to a collaborative environment.
