Data Operations Engineer I
London The Stanley Building
GSK
At GSK, we unite science, technology and talent to get ahead of disease togetherThe Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward:
- Building a next-generation data experience for GSK’s scientists, engineers, and decision-makers, increasing productivity and reducing time spent on “data mechanics”
- Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent
- Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-time
We are looking for a skilled Data Operations Engineer I to join our growing team. The DataOps team accelerates biomedical and scientific data product development and ensures consistent, professional-grade operations for the Data Science and Engineering organization by building templated projects (code repository plus DevOps pipelines) for various Data Science/Data Engineering architecture patterns in the challenging biomedical data space. A Data Operations Engineer I knows the metrics desired for their tools and services and iterates to deliver and improve on those metrics in an agile fashion. A Data Operations Engineer I is a technical contributor who can take a well-defined specification for a function, pipeline, service, or other sort of component, and a technical approach to building it, and deliver it at a high level. They are aware of, and adhere to, best practice for software development in general (and their specialization in particular), including code quality, documentation, DevOps practices, and testing. They ensure robustness of our services and serve as an escalation point in the operation of existing services, pipelines, and workflows.
A Data Operations Engineer I should have awareness of the most common tools (languages, libraries, etc) within their specialization. They should be constantly seeking feedback and guidance to further develop their technical skills and expertise, and should take feedback well from all sources in the name of development.
Key Responsibilities:
A Data Operations Engineer I is a technical individual contributor, building modern, cloud-native systems for standardizing and templatizing data engineering:
- Develop and support delivery of high-performing, high-impact data ops products and services, from a loosely defined data engineering problem or requirement.
- Builds modular code / libraries / services / etc using tools appropriate to their area of specialization.
- Produces well-engineered software, including appropriate automated test suites and technical documentation.
- Ensure consistent application of platform abstractions to ensure quality and consistency with respect to logging and lineage.
- Adhere to QMS framework and CI/CD best practices.
- Stay up-to-date with developments in the open source community around DevOps, data engineering, data science, and similar tooling.
- Provide L3 support to existing tools / services / pipelines.
Basic Qualifications:
We are looking for professionals with these required skills to achieve our goals:
- Bachelor’s degree in computer science, Software Engineering, or related discipline
Experience using at least one common programming language (e.g., Python, Scala, Java), including toolchains for documentation and testing.
Experience with Infrastructure/Configuration as Code tools and techniques (e.g Terraform, Ansible, CloudFormation, ARM Templates
Experience in modern software development tools / ways of working (e.g. git/GitHub, devops tools, …)
Preferred Qualifications:
If you have some of the following characteristics, it would be a plus:
- Master's or PhD in computer science, Software Engineering, or related discipline.
- Exposure to tools, techniques, etc relevant to their specialization area (e.g. building data Platforms, data Engineering and Operations)
#LI-GSK
#GSKOnyx
Why Us?
GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030.
Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We’re committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce.
As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class*(*US only).
We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on Ukdiversity.recruitment@gsk.com or 0808 234 4391.
Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a UK Recruitment FAQ guide. Click the link and scroll to the Careers Section where you will find answers to multiple questions we receive
As you apply, we will ask you to share some personal information which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially.
Important notice to Employment businesses/ Agencies
GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.
Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting For the Record site.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Ansible Architecture CI/CD CloudFormation Computer Science Data analysis DataOps DevOps Engineering Git GitHub Java Machine Learning Open Source PhD Pipelines Python R R&D Research Scala Terraform Testing
Perks/benefits: Career development
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