Senior Principal Data Engineer

At GSK, we are creating an exceptional data and predictive team that is passionate about patient care. The objective of our Scientific Digital and Tech division is to facilitate the discovery, development, and supply of medicines and vaccines to patients. This entails new tools to discover novel treatments, predictive capabilities for pre-clinical research, expedited supply chain and improved laboratory experience for our researchers. Our digital and tech solutions aim to automate workflows and accelerate decision-making, releasing our professionals to concentrate on scientific inquiry. In this new era of data-driven research, we are establishing a strong data engineering function to guarantee high-quality data capture with context and aligned data models — ensuring the usability and reusability of data for numerous applications. The collective goal of GSK R&D and Digital and Tech is to generate business impact, including speeding up the discovery and development of drugs and vaccines for patients. In the last 2 years, the R&D Digital and Tech mandate has expanded to better prepare GSK for the future and strengthen its impact, focus, accountability, and decision-making in the utilization of Digital, Data, and Analytics (DDA) to bolster the pipeline. Job Purpose This role participates in the formulation of the development data fabric and data strategy. It involves interaction with architects, engineers, data modelers, product owners and other team members across Clinical Solutions and R&D. Additionally, the role entails active involvement in creating technical solutions, designs, implementations and the continual enhancement of R&D Tech systems following agile and DevOps principles. The Data Engineer displays both depth and breadth across key data engineering competencies such as Software Development, Testing, DevOps, Data Science/Analytics, and cloud. They can cooperate with experts from other domains. Principal responsibilities encompass the usage of Azure cloud services and GSK data platform tools to ingest, egress, and transform data from multiple sources. Moreover, the Data Engineer, Clinical Solutions role is a senior technical position offering opportunities to lead key activities advancing your career. Responsibilities include: -Collaborating with other teams outlining devops and data platform practices to fulfill the requirements of clinical solutions. -Assisting engineering teams in the adoption and creation of data fabric best practices. -Conducting PoCs of new technologies and aiding their integration in product teams. -Being a part of a cutting-edge team creating the Development Data Fabric. -Ensuring compliance of technical delivery with GSK Security, Quality, and Regulatory standards. -Sustaining best engineering and architecture practices on our Confluence site. -Taking the initiative in experimentation and innovation for constant improvement. -Providing leadership, technical direction, and GSK expertise to architecture and engineering teams constituted by GSK FTEs, strategic partners, and software developers. Basic Qualifications: We are seeking professionals with a minimum of 15+ years of experience and proficient with at least 3 of the following competencies: experience in Spark, Python and Databricks; software development, architecture design & technology platforms/frameworks; data platforms and domain-driven design; agile, DevOps & automation of testing, build, deployment, CI/CD, etc.; data science (e.g., AI/ML), data analytics & data quality/integrity; and testing strategies & frameworks. The role requires excellent communication, negotiation, influencing and stakeholder management skills, and customer focus. A bachelor’s degree in computer science or related field is required, a MS is preferred. Preferred Qualifications: If you have experience in agile software development and DevOps, including cloud technologies & data structures (i.e., information management), data models or relational database design, then that would be advantageous. Furthermore, experience in clinical development, continuous change delivery to meet rapidly evolving R&D strategy and ambition, and application of AI/ML, data curation, virtualization, predictive modelling, and advanced visualization techniques would be beneficial. At GSK, we appreciate diversity (Gender, LGBTQ+, PwD etc.) and treat all candidates on an equal footing. We aspire to create a workplace where all employees feel engaged, supportive of each other, and understand their work significantly contributes to our goals. Why GSK? GSK is a global biopharma company with a unique purpose – to unite science, technology, and talent to stay ahead of diseases – to positively impact the health of billions of people and deliver stronger, sustainable shareholder returns. We are dedicated to making GSK a place where everyone can thrive, by aiming to be more proactive at all levels to ensure our workforce reflects the communities we operate in. 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