Data Operations Engineer I

Key Skills

Aartificial intelligence, Continuous Integration & Continuous Delivery - CI/CD, Data Engineering, Data science techniques, DevOps, Git, Github, High performance computing- HPC, Java Programming, Machine learning techniques, Operations, Python Programming, Scala Programming

Job Description

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

We are looking for a skilled Data Operations Engineer I to join our growing team. The DataOps team accelerates biomedical and scientific data product development and ensures consistent, professional-grade operations for the Data Science and Engineering organization by building templated projects (code repository plus DevOps pipelines) for various Data Science/Data Engineering architecture patterns in the challenging biomedical data space.

A Data Operations Engineer I knows the metrics desired for their tools and services and iterates to deliver and improve on those metrics in an agile fashion. A Data Operations 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 their specialization 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 Operations Engineer I should have awareness of the most common tools (languages, libraries, etc) within their specialization. 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

• Be a technical individual contributor, building modern, cloud-native systems for standardizing and templatizing data engineering
• Develop and support delivery of high-performing, high-impact data ops products and services, from a loosely defined data engineering problem or requirement
• Builds modular code / libraries / services / etc using tools appropriate to their area of specialization
• 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
• Stay up-to-date with developments in the open source community around DevOps, data engineering, data science, and similar tooling
• 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:

• Bachelor's degree or equivalent in Computer Science, Software Engineering or related discipline.
• Job-related relevant Data Engineering experience building and testing software components that are robust, scalable and operable.
• Experience using at least one common programming language (e.g., Python, Scala, Java), including toolchains for documentation and testing
• Exposure to Infrastructure/Configuration as Code tools and techniques (e.g Terraform, Ansible, CloudFormation, ARM Templates
• Exposure to modern software development tools / ways of working (e.g. git/GitHub, devops tools)
• Exposure to tools, techniques, etc relevant to their specialization area (e.g. AI/ML, DevOps, Data Platforms)

Preferred Qualifications & Skills:

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

• Master’s degree or equivalent in Computer Science, Software Engineering or related discipline.

Closing Date for Applications: Friday 5th January 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.

During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact 0808 234 4391. This will help us to understand any modifications we may need to make to support you throughout our selection process.