Data Engineer II

WISE Campaign; Greater London; On-site; GBP 116,000 - 194,000; Full time

Job summary

A leading pharmaceutical company is seeking a Data Engineer II to further develop their Onyx Research Data Platform. This role requires expertise in data engineering and software development, focusing on creating automated data services. Candidates should have at least a Bachelor’s degree and 4+ years in data engineering, with skills in Python and cloud systems. The company offers competitive compensation and a supportive working environment.

Qualifications

• 4+ years of Data engineering experience.
• Experience with automated testing and design.
• Familiarity with orchestrating tooling.

Responsibilities

• Build modular code and libraries using modern data engineering tools.
• Produce well-engineered software including automated test suites.
• Develop, measure, and monitor key metrics for tools and services.

Skills

Data engineering

Software engineering

Cloud experience

Python

Spark

Kafka

Education

Bachelor’s degree in Data Engineering, Computer Science, or related discipline

PhD or Masters degree

Tools

Agile development tools (Jira, Confluence)

CI/CD tools (Jenkins, CircleCI)

Job description

Job description

Site Name: South San Francisco 611 Gateway Blvd, Cambridge 300 Technology Square, London The Stanley Building | Posted Date: Dec 4 2025

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 leveraged 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 unified, automated, next‑generation data experience for GSK’s scientists, engineers, and decision‑makers, increasing productivity, and reducing data friction
• Providing best‑in‑class AI/ML, GenAI 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, structured and unstructured data in line with Product requirements.

As a Data Engineer II, you are a technical contributor who can take a well‑defined specification for a function, pipeline, service, or other sort of component, devise a technical solution, and deliver it at a high level. You 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. You ensure robustness of our services and serve as an escalation point in the operation of existing services, pipelines, and workflows. You will work across structured, unstructured, and scientific data domains, applying modern engineering and automation best practices to deliver reliable, scalable, and governed data products. You will also contribute to emerging GenAI‑enabled data capabilities, such as embedding pipelines, vectorised data flows, and LLM‑ready data products.

You should be deeply familiar with the most common tools (languages, libraries, etc.) in the data space, such as Spark, Kafka, Storm, etc., and aware of the open‑source communities that revolve around these tools. You have a strong focus on operability of your tools and services, and develop, measure, and monitor key metrics for their work to seek opportunities to improve those metrics.

Key responsibilities include:

• Build 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
• Develop, measure, and monitor key metrics for all tools and services and consistently seek to iterate on and improve them
• Ensure consistent application of platform abstractions to ensure quality and consistency with respect to logging and lineage
• Fully versed in coding best practices and ways of working, and participates in code reviews and partnering to improve the team's standards
• Adhere to QMS framework and CI/CD best practices
• Provide L3 support to existing tools / pipelines / services

Why you?

Why GSK?
Uniting science, technology and talent to get ahead of disease together.

Basic Qualifications:

• Bachelor’s degree in Data Engineering, Computer Science, Software Engineering, or a related discipline
• 4+ years of Data engineering Experience
• Software engineering experience
• Familiarity with orchestrating tooling
• Cloud experience (GCP, Azure or AWS)
• Experience in automated testing and design

Preferred Qualifications:

• New PhD or a Masters degree with 2+ years of experience.
• Experience overcoming high volume high compute challenges
• Knowledge and use of at least one common programming language: e.g., Python, Scala, Java, including toolchains for documentation, testing, and operations / observability
• Strong experience with modern software development tools / ways of working (e.g. git/GitHub, DevOps tools, metrics / monitoring, …)
• Cloud experience (e.g., AWS, Google Cloud, Azure, Kubernetes)
• 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 using Jira and Confluence
• Demonstrated experience with common tools and techniques for data engineering (e.g. Spark, Kafka, Storm, …)
• Knowledge of data modelling, database concepts and SQL
• Exposure to GenAI or ML data workflows (vector stores, embeddings, feature pipelines, etc.)

• If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $116,325 to $193,875. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share‑based long‑term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process.

Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.

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