Singular: Building Brilliant Biotechs
Senior Cloud Data Engineer

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Senior Cloud Data Engineer
AWS • Kubernetes • Data Platforms • Genomics • Oxford (Hybrid)
You are an experienced cloud engineer who loves building scalable infrastructure, solving complex technical challenges, and taking ownership of platforms that matter. You want to work somewhere where your decisions directly influence scientific discovery, not just another software product.
THE COMPANY
We are working with an innovative biotechnology company combining genomics, computational biology, machine learning, and drug discovery to identify entirely new therapeutic targets hidden within the non-coding genome. Working at the intersection of biology and technology, their computational platform underpins every stage of scientific decision-making. As their datasets continue to grow and their pipelines become increasingly sophisticated, they are now investing in a senior cloud engineering leader who can take ownership of the infrastructure that powers the business.
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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
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Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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THE ROLE
Reporting to the Head of Software & Data Engineering, you will become a key technical owner across the companies AWS-based platform. This is a broad, highly visible role spanning cloud engineering, platform architecture, DevOps, infrastructure-as-code, observability, cost optimisation and data engineering. You'll work closely with software engineers, bioinformaticians and scientists to ensure the platform scales reliably as data volumes and computational complexity continue to grow.
KEY RESPONSIBILITIES
- Own and evolve AWS cloud infrastructure
- Manage and optimise Kubernetes (EKS) environments
- Scale large genomics and biological data processing workloads
- Partner with engineering, bioinformatics and discovery teams on platform requirements
- Identify architectural improvements and implement scalable solutions


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ABOUT YOU
You will likely bring a combination of:
- Significant hands-on AWS experience in production environments
- Expertise with Kubernetes and containerised workloads
- Strong understanding of networking, IAM, security and cloud architecture
- Biotechnology, genomics, healthcare or pharmaceutical experience
WHY JOIN?
Within your first 6-12 months you'll have genuine ownership over critical cloud infrastructure powering the scientific platform. You'll influence architectural decisions, scalability, cost management and technology strategy while working alongside highly capable engineers and scientists.
LOGISTICS
- Permanent
- Hybrid working
If you're excited by cloud engineering, large-scale data, and the opportunity to make a direct impact on drug discovery, we'd love to hear from you. Apply now!
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