Data Engineer I

The Onyx Research Data Tech organization is GSK’s Research data ecosystem which has the capability to bring together, analyze, and power the exploration of data at scale. We partner with scientists across GSK to define and understand their challenges and develop tailored solutions that meet their needs. The goal is to ensure scientists have the right data and insights when they need it to give them a better starting point for and accelerate medical discovery. Ultimately, this helps us get ahead of disease in more predictive and powerful ways.

Onyx is 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​

Purpose of Onyx

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.

A Data 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 data engineering 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 Engineer I should have awareness of the most common tools (languages, libraries, etc) in the data space, such as Spark, Kafka, Storm, etc. 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.

In this role you will

• Builds modular code / libraries / services / etc using modern data engineering tools (Python/Spark, Kafka, Storm, …) and orchestration tools (e.g. Google Workflow, Airflow Composer)
• 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
• Provide L3 support to existing tools / services / pipelines

Why you?

Qualifications & Skills:

We are looking for professionals with these required skills to achieve our goals:

• Bachelors’ degree in Data Engineering, Computer Science, Software Engineering, or related discipline
• Experience in industry as a Data Engineer
• Experience with choosing appropriate data structures for scale and access patterns
• Knowledge and use of at least one common programming language (e.g., Python, Scala, Java), including toolchains for documentation and testing
• Exposure to modern software development tools / ways of working (e.g. git/GitHub, DevOps tools, …)
• Software engineering experience
• Exposure to common tools for data engineering (e.g. Spark, Kafka, Storm, …)
• Demonstratable experience overcoming high volume, high compute challenges
• Familiarity with database concepts and SQL
• Exposure to automated testing techniques

Preferred Qualifications & Skills:

If you have the following characteristics, it would be a plus:

• Masters or PhD in Data Engineering, Computer Science, Software Engineering, or related discipline

Closing Date for Applications: Thursday 19th September 2024 (COB)

Please take a copy of the Job Description, as this will not be available post closure of the advert.
When applying for this role, please use the ‘cover letter’ of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.

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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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