At a Glance
- Tasks: Build and operate high-performing, cloud-native data platforms for research scientists.
- Company: GSK, a science-led global healthcare company focused on groundbreaking vaccines and medicines.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic role with mentorship opportunities and a focus on innovation.
- Why this job: Join a team that accelerates data-driven decisions and makes a real impact in healthcare.
- Qualifications: Proficiency in Google Cloud Platform and strong Python development skills required.
The predicted salary is between 60000 - 80000 € per year.
Contract Length: 6 months
Location: Stanley Building
GSK is a science‑led global healthcare company dedicated to discovering and developing groundbreaking vaccines and medicines. As part of our Onyx Research Data Platform organization, we aim to accelerate data‑driven decision making across R&D.
We are looking for a skilled Data Platform Engineer to build and operate high‑performing, cloud‑native data platforms that deliver reusable components, integrations, and services for our research scientists. You will own end‑to‑end platform delivery, mentor junior engineers, and drive quality and agility in every phase of the product lifecycle.
Key Responsibilities
- Build a next‑generation, metadata‐ and automation‑driven data experience for GSK’s scientists, engineers, and decision‑makers, enhancing productivity and reducing time spent on data mechanics.
- Provide best‑in‑class AI/ML and data analysis environments to accelerate predictive capabilities.
- Engineer data at scale as a unified asset, unlocking the value of GSK’s unique collections in real‑time.
- Automate end‑to‑end data flows for high‑throughput genetics, genomics, and multi‑omics, improving ingestion speed and reliability.
- Enable data governance by designing external and internal data controls, ensuring secure and monitored use.
- Develop disease‑specific and domain‑expert data products that accelerate insight discovery for computational scientists.
- Support end‑to‑end code traceability and data provenance, increasing assurance of data integrity through automation and integration.
- Improve engineering efficiency with extensible, reusable, scalable, and maintainable data and code traceability frameworks.
Core Skills & Requirements
- Proficiency in Google Cloud Platform (GCP) services such as Cloud Run, GKE, Cloud Storage, Artifact Registry, IAM, and related infrastructure.
- Strong Python development skills for scripting, automation, and tooling around pipeline infrastructure.
- Hands‑on experience building and optimizing Docker containers, including multi‑stage builds, image optimization, and container security best practices.
- Solid understanding of CI/CD pipelines for automated container builds and deployments.
- Expertise in debugging and observability: structured logging, distributed tracing, metrics collection, and use of tools such as Cloud Logging, Cloud Monitoring, or equivalent.
- Experience diagnosing performance and reliability issues in containerised, cloud‑native environments.
Preferred Skills
- Familiarity with Nextflow for workflow orchestration.
- Exposure to bioinformatics, genomics data, cell imaging, and histopathology imaging processing workflows.
- Experience with GCP Batch for running large‑scale computational workloads.
Inclusion at GSK
GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, or other protected class.
Data Platform Engineer in London employer: Allegis Global Solutions
GSK is an exceptional employer, offering a dynamic work environment at the Stanley Building where innovation thrives. Employees benefit from a culture that prioritises collaboration and mentorship, with ample opportunities for professional growth in cutting-edge data technologies. Join us to contribute to meaningful healthcare advancements while enjoying a supportive atmosphere that values diversity and inclusion.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at GSK on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can talk confidently about your experience with Google Cloud Platform and Python. We want to see you shine!
✨Tip Number 3
Showcase your projects! If you've built any data platforms or worked on relevant automation, bring it up during your conversations. Real-world examples can set you apart from the crowd.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the GSK team.
We think you need these skills to ace Data Platform Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Platform Engineer role. Highlight your experience with GCP services, Python development, and any relevant projects that showcase your skills in building cloud-native data platforms.
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 your background aligns with GSK's mission. Don’t forget to mention specific projects or experiences that relate to the key responsibilities outlined in the job description.
Showcase Your Technical Skills:Be sure to include any hands-on experience you have with Docker, CI/CD pipelines, and debugging tools. We want to see your technical prowess, so don’t hold back on detailing your achievements and the impact they had on previous projects.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your documents in one go. Plus, it helps us keep track of your application!
How to prepare for a job interview at Allegis Global Solutions
✨Know Your Tech Stack
Make sure you’re well-versed in Google Cloud Platform services, especially those mentioned in the job description. Brush up on your Python skills and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled performance and reliability issues in cloud-native environments. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Demonstrate Your Mentorship Experience
Since mentoring junior engineers is part of the role, think of instances where you've guided others. Be ready to discuss your approach to mentoring and how it has benefited your team or project outcomes.
✨Ask Insightful Questions
Prepare thoughtful questions about GSK’s data platform initiatives and how they align with their research goals. This shows your genuine interest in the role and helps you understand if the company is the right fit for you.
