Job description
Staff Data Engineer and Team Lead
The 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
Data Engineering is responsible for the design, delivery, support, and maintenance of industrialised automated end to end data services and pipelines. They apply standardised data models and mapping to ensure data is accessible for end users in end-to-end user tools through use of APIs. They define and embed best practices and ensure compliance with Quality Management practices and alignment to automated data governance. They also acquire and process internal and external, structure and unstructured data in line with Product requirements.
This role is responsible for building and leading a scrum team of world-class data engineers focused on building automated, scalable, and sustainable pipelines to account for evolving scientific needs. They support the head of Data Engineering in building a strong culture of accountability and ownership in their team, as well as instilling best-in-class engineering practices (e.g., testing, code reviews, DevOps-forward ways of working). They work in close partnership with our Platforms teams to ensure we have the right tools and ways of working, and with our Bioinformatics teams to ensure the use of appropriate schemas, vocabularies, and ontologies.
Key Responsibilities:
Lead a team of data engineers in delivering data and knowledge products that advance GSK R&D
Architect of the data delivery and operational strategy for their team, who can deconstruct a complex and ambiguous data or knowledge request into a detailed strategy to make decision, anticipates future issues, and drive engineering efficiencies
Partners closely with other data engineering leads to conceptualise the design of new data flows aimed at maximising reuse and aligning with an event riven microservice enable architecture
Partner with other Data Engineering leads to architect an engagement model and optimal ways of working with the product management teams
Able to design innovative strategy beyond the current enterprise way of working to create a better environment for the end users, and able to construct a coordinated, stepwise plan to bring others along with the change curve
Standard bearer for proper ways of working and engineering discipline, including the QMS framework and CI/CD best practices and proactively spearhead improvement within their engineering area
Exemplar leaders in their field of technical knowledge, keen on bettering their understanding and acting as the knowledge holder for the organisation
Why You!
We are looking for professionals with these required skills to achieve our goals:
Bachelors’ degree, Data Engineering, Computer Science, Software Engineering, or related discipline
Strong data engineering experience in industry
Software engineering experience
Experience leading a matrix data engineering team
Demonstratable experience overcoming high volume, high compute challenges.
Familiarity with orchestrating tooling
Cloud experience (e.g., AWS, Google Cloud, Azure, Kubernetes)
Experience in automated testing and design
Experience with DevOps-forward ways of working
Deep experience with common big data tools (e.g., Spark, Kafka, Storm, …)
Application experience of CI/CD implementations using git and a common CI/CD stack (e.g., Jenkins, CircleCI, GitLab, Azure DevOps)
Experience with agile software development environments fluence
Experience with Infrastructure as a Code and automation tools (i.e. Terraform)
Expertise in data modelling, database concepts and SQL
Preferred:
Masters or PhD, Data Engineering, Computer Science, Software Engineering, or related discipline
Direct line management of a Data Engineering team
Interested in Joining the Team?
Please apply via our online portal providing your CV and Cover Letter.
Onyx Data Platform:
Purpose of Onyx
#GSKOnyx
#LI-GSK
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We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme.
We embrace modern work practises; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work.
Discover more about our company wide benefits and life at GSK on our webpage Life at GSK | GSK
Why GSK?
Uniting science, technology and talent to get ahead of disease together.
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 organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).
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 place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.
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.
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