Principal Data Engineer

Job Summary

The Cyber Security organization at GSK is seeking a highly skilled and experienced Principal Data Engineer to focus on cyber data analytics. This role is integral to enabling data-driven insights for our metrics and data science teams, ensuring the secure and efficient handling of data within the Microsoft Azure ecosystem, particularly Databricks. The Principal Data Engineer will play a key role in designing and managing data workflows for ingestion, transformation, and preparation while collaborating with senior stakeholders and mentoring junior team members.

This role is focused on ensuring high-quality, scalable, and efficient data engineering solutions to support advanced analytics and cyber security objectives.

Key Responsibilities

Data Engineering & Technical Expertise

• Develop and maintain data ingestion, transformation, and integration pipelines using PySpark, Scala, and SQL within the Microsoft Azure ecosystem.

• Set up, manage, and maintain Databricks Delta Lake environments for secure and efficient data storage and processing.

• Design and implement data models (ER and dimensional) for optimized data access and reporting.

• Build pipelines to integrate data from traditional sources such as flat files, SQL Server, Oracle, and Informix, as well as non-traditional sources like JSON, XML, Blob storage, and APIs.

• Leverage Azure services such as Azure Data Factory, Azure Storage, Blob Accounts, and Key Vaults to ensure seamless data operations and security compliance.

• Ensure best practices for code creation, migration, and deployment across multi-environment setups.

Collaboration & Stakeholder Engagement

• Partner closely with metrics and data science teams to understand data requirements and provide well-curated datasets for analytics and reporting.

• Troubleshoot and resolve data-related issues while communicating explanations and resolutions to senior business stakeholders and leadership.

• Act as a trusted advisor to leadership, providing insights and guidance on data engineering practices and strategies.

Mentorship & Team Development

• Provide technical mentorship to junior team members helping them develop skills in Azure data engineering and Databricks.

• Support team members in understanding and applying data engineering best practices and troubleshooting techniques.

Data Visualization & Reporting

• Integrate data pipelines with analytical tools like Power BI or Tableau to support actionable insights.

• (Preferred) Build dashboards, reports, and visualizations using Power BI or Tableau, applying advanced features like slicers, filters, hierarchies, and cross-report filtering.

Required Skills & Experience

• 10 to 13years of professional experience in IT with bachelor's or master's degree in engineering

• 10+ years of experience with Microsoft Azure ecosystem with focus on cloud data engineering, azure data factory, Storage and blob account management, key vaults etc.

• 10+ years of experience with databricks in creating data integration pipelines using PySpark, SCALA, SQL. Databricks delta lake setup, management, and maintenance.

• 10+ years of experience with building data integration pipelines from traditional sources like Flat files, databases (Sql Server, Oracle, Informix) and non-traditional sources like JSON, XML, BLOBS, APIs.

• Expertise in data design and modelling, creating ER and Dimensional models, Read-optimized designs.

• Expertise in code creation, migration, and deployment in a multi environment setup.

• 5+ years of experience integrating data with analytical tools and services like Power BI, Power BI Services, Web apps.

• 5+ years of experience building dashboards, reports, and custom visuals using leading BI tools like Power BI, Tableau.

• Experience building insightful and actionable visualizations leveraging advanced features from the BI Tool Set including Slicers, filters, hierarchies, navigation elements, cross report filtering.

• Knowledge/ exp of Agentic AI is a plus.

Soft Skills

• Proven ability to engage with senior business stakeholders, explain technical issues in layman's terms, and influence decision-making.

• Strong problem-solving and troubleshooting skills, with a proactive approach to identifying and resolving data issues.

• Excellent communication skills – both written and verbal – to effectively collaborate across technical and non-technical teams.

• Experience mentoring and developing junior team members.

Preferred Skills

• Experience with Agentic AI or other advanced analytics tools is a plus.

• Knowledge of advanced visualization techniques and custom visual creation in Power BI or Tableau is a bonus.

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

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

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