Data Engineer

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GSK is a global biopharma company with a special purpose to unite science, technology and talent to get ahead of disease so the health of billions of people can be positively impacted and so stronger, more sustainable shareholder returns can be delivered as an organisation where people can thrive. Getting ahead means preventing disease as well as treating it, and GSK aims to impact the health of 2.5 billion people around the world in the next 10 years.

Role: Principal - Principal Engineer Data & Analytics

This is an exciting time to join GSK. They are embracing new data technologies to improve the development, manufacture, and distribution of GSK's vital products to patients and consumers worldwide. You will be part of a team building a robust data and analytics ecosystem, allowing GSK to drive higher value by placing data at the core of its strategic and operational decisions.

This role is responsible for leading data engineering teams to drive execution of Data engineering and Advanced Analytics projects. He/She will work collaborate with cross-functional teams to identify and prioritize data analytics projects that can drive business growth and efficiencies. As a senior member in the Architecture team, he/she will stay up to date with emerging trends and technologies in data analytics and apply them to the GSK's data initiatives.

High level job duties for Principal Engineer Data & Analytics would include

Data & Solution Architecture Ability to define data architecture strategy that align with business goals and ensures data availability & data accuracy.

Ensuring data quality by implementing and enforcing data governance policies and best practices Data Products & Platform Support Ability to provide technical support to Data & Platform Support running production. Technology evaluation & selection Execute Proof of concept and Proof of value for various technology solutions and frameworks Continuous Learning - Staying up to date with emerging technologies and trends in data engineering, and making recommendations for their adoption wherever appropriate Collaboration & communication Collaborate and work closely with executives, stakeholder and business teams to effectively communicate architecture strategy & clearly articulate the business value

Qualification

BS or MS in engineering, sciences, or equivalent relevant experience required.

8-10 years of experience in building/managing/administrating data and analytics applications is required

Designing solution architecture and present the architecture in architecture review forums

Suitable candidate be able to demonstrate strong experience in the following areas -

Technology Experience

• Candidate must have strong experience in at least one or both of the following technology areas
• Data Engineering
• Hands-on experience with data engineering tools such as Talend (or Informatica or AbInitio), Databricks (or Spark)
• Working knowledge of data build tools, Azure Data Factory, continuous integration and continuous delivery (CI/CD), automated testing, data lakes, data warehouses
• Basic knowledge of building analytics applications using Power BI/Spotfire/Tableau.
• Cloud Engineering
• Experience with Azure administration (or equivalent on AWS or GCP), including provisioning, networking, security, and monitoring of data platform-oriented cloud services.
• Ability to implement automation using DevOps and Infrastructure as Code (IaC) tools such as Terraform, Ansible, Chef, or Puppet.

Stakeholder Management & Communication Skills

Excellent communication, negotiation, influencing and stakeholder management skills

Preferred to have experience in project management, particularly in executing projects using Agile delivery frameworks

Ability to oversee and matrix manage GSK and 3rd party technical resources

Customer focus and excellent problem-solving skills