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 employer: Allegis Global Solutions
GSK is an exceptional employer, offering a dynamic work environment at the Stanley Building where innovation meets collaboration. As a Data Platform Engineer, you will not only contribute to groundbreaking healthcare solutions but also benefit from a culture that prioritises employee growth through mentorship and continuous learning opportunities. With a commitment to diversity and inclusion, GSK fosters a supportive atmosphere that empowers you to thrive in your career while making a meaningful impact on global health.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at GSK. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your projects, especially those involving GCP, Python, or Docker. Real-world examples of your work can really make you stand out.
✨Prepare for Technical Questions
Brush up on your technical skills and be ready to tackle questions about CI/CD pipelines or debugging in cloud environments. Practising common interview questions can help you feel more confident when it’s your turn to shine.
✨Apply Through Our Website
Don’t forget to apply directly through our website! It shows you're genuinely interested and makes it easier for us to find your application. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Data Platform Engineer
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 your experience with automation and data governance.
Showcase Your Projects:If you've worked on any relevant projects, make sure to include them in your application. Whether it's a personal project or something from a previous job, demonstrating your hands-on experience with Docker, CI/CD, or data analysis will set you apart.
Apply Through Our Website:We encourage you to apply through our website for the best chance of being noticed. It’s straightforward, and you’ll be able to submit all your materials in one go. Plus, we love seeing applications come directly from our site!
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 it's the right fit for you.
