Staff Data Engineer and Team Lead

At GSK, we want to supercharge our data capability to better understand our patients and accelerate our ability to discover vaccines and medicines. 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, metadata- and automation-driven 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, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time

The Staff Data Engineer and Team Lead 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.

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

Please apply via our online portal providing your CV and Cover Letter.

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

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