Chief Data Engineer

We are looking for a highly competent and self-driven Principal Data Engineer to join our Data Engineering team at GSK. The Principal Data Engineer will work alongside the Commercial Pharma Tech Product & Development teams to create and deliver digital products that are both "fit for purpose" and "fit for use". This includes using verified and repeatable architectural/design patterns to balance speed-to-value and costs.

As a Principal Data Engineer, your role will be critical in designing, developing, and maintaining our data infrastructure to the highest standards in terms of quality, security, and scalability.

Responsibilities:

• Work closely with business stakeholders to understand their data requirements and align your data engineering strategies with the organization's business objectives.
• Function as Delivery/Tech Lead who can manage and lead development/deployment squads for Data product deliveries.
• Formulate and uphold data architecture and design strategies that balance technical considerations with business requirements, ensuring data solutions are scalable and efficient.
• Exhibit in-depth knowledge of Azure data services, including Azure Data Factory, Azure Databricks, Azure Synapse Analytics.
• Direct the design and execution of ETL/ELT processes to extract, transform, and load data from various sources into Azure data repositories.
• Create and manage data models that not only optimize technical performance but also meet business reporting and analytics needs.
• Supervise data integration efforts and ensure that data is accessible and relevant for business users.
• Apply data security and compliance measures to protect sensitive information and ensure regulatory requirements are met.
• Establish and enforce data governance policies that maintain data quality, compliance, and metadata management in line with business processes.
• Regularly optimize data solutions for performance, cost-effectiveness, and scalability while considering the impact on business operations.
• Create and maintain scripts and automation workflows that streamline data pipeline management and meet business requirements.
• Mediate between technical data engineering and business teams, facilitating communication and understanding of data requirements.
• Set up monitoring and alerting systems to proactively identify and address data pipeline issues that could impact business operations.
• Maintain detailed documentation of data solutions, configurations, and changes that can be understood by both technical and business stakeholders.
• Keep up to date with novel data technologies and trends and propose innovative solutions that improve data engineering processes while considering business needs.
• Provide technical leadership to the data engineering team, guiding junior data engineers on understanding and addressing business requirements.

Must Have:

• 10 - 12+ years of industry experience in Data Engineering.
• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• Demonstrable experience as a Principal Data Engineer, with a strong focus on Microsoft Azure (typically 8+ years of experience).
• At least 2 years of experience in the Pharmaceutical domain is a strong plus.
• Microsoft Azure certifications, such as Azure Data Engineer, are highly desirable.
• Proficient in SQL and NoSQL databases, as well as big data technologies like Apache Spark.
• Strong programming skills in languages like Python, Scala, or .NET.
• A strong background in Azure DevOps – particularly in CI/CD implementation.
• Understanding of data warehousing concepts, data lakes, and data streaming.
• Experience with containerization technologies like Docker and Kubernetes is a plus.
• Excellent problem-solving abilities and the capacity to work in a fast-paced, dynamic environment.
• A commitment to continuous learning and staying current with Azure data services and best practices.
• Prior experience in reviewing and recommending architectural patterns for data performance.
• A strong understanding of the Databricks ecosystem and its components.
• Excellent communication abilities & creative problem-solving skills.
• Ability to make independent decisions based on circumstances.
• Proven track record of delivering products/projects within deadlines and budget.
• Able to effectively prioritize and delegate work.
• Excellent team design skills.
• Deep understanding of ML-Ops Tools & Concepts.

About GlaxoSmithKline

GSK is dedicated to improving the quality of human life by enabling people to do more, feel better, and live longer. As a global leader in the pharmaceutical and healthcare fields, we have a rich history dating back to the 19th century, and we are deeply committed to advancing healthcare for the betterment of humanity.

Our Mission

Our mission is to help people around the world do more, feel better, and live longer. We accomplish this by researching, developing, and providing innovative medicines, vaccines, and consumer healthcare products. Our commitment to scientific excellence and ethical practices guides all our endeavors.

Why Us?

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 have a positive impact on the health of billions of people and deliver stronger, more sustainable shareholder returns. Our success 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 everyone can feel a sense of belonging and flourish as outlined in our Equal and Inclusive Treatment of Employees policy. We’re committed to being proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce.

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