Staff Data Engineer and Team Lead

Job title:

Staff Data Engineer and Team Lead

Company:

GlaxoSmithKline

Job description

Staff Data Engineer and Team LeadAt 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 talentAggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-timeThe 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&DArchitect 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 disciplineStrong data engineering experience in industrySoftware engineering experienceExperience leading a matrix data engineering teamDemonstratable experience overcoming high volume, high compute challenges.Familiarity with orchestrating toolingCloud experience (e.g., AWS, Google Cloud, Azure, Kubernetes)Experience in automated testing and designExperience with DevOps-forward ways of workingDeep 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 fluenceExperience with Infrastructure as a Code and automation tools (i.e. Terraform)Expertise in data modelling, database concepts and SQLPreferred:Masters or PhD, Data Engineering, Computer Science, Software Engineering, or related disciplineDirect line management of a Data Engineering teamInterested in Joining the 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#GSKOnyx#GSKTech1#LI-GSKWhy 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.If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US).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, covered/protected veteran status or any other federal, state or local protected class.Important notice to Employment businesses/ AgenciesGSK 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 site.

Expected salary

Location

Warszawa, mazowieckie

Job date

Fri, 03 May 2024 07:10:56 GMT

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