Principal Data Engineer
About the role
About R&D Tech, Data Acquisition & Management in Drug Safety Solutions
In this role you will
Technical Leadership & Architecture
RAG, Vector Databases, Agentic AI, LLMOps, LangChain, LangGraph, Semantic Search, AI Agents, and Azure OpenAI
Automation & Process Optimization
Product/Project Delivery
Data Analysis & Enhancement
Operational Excellence
Quality, Risk & Compliance
Feature Definition
Service Management
Team Collaboration
Adoption strategy & change management
Qualifications & Skills
- Minimum 10 years of hands-on technical experience in data engineering, AI/ML, and automation projects within regulated industries
- Strong proficiency in programming languages such as Python (PySpark and Fastapi is a plus)
- Possess hands-on experience in the following AI-Native technologies: Designing and implementing RAG architectures, Context enrichment strategies for LLM applications, Vector Databases such as Azure AI Search Vector Capabilities, Multi-agent orchestration frameworks such as LangChain, LangGraph and Semantic Kernel; Knowledge graph integration.
- Experience with cloud-based data platforms like Snowflake and Azure - development, integration, and configuration (Azure Data Factory, Azure Databricks, Azure App Services, Azure Cognitive Services, ADLSv2, Azure Key Vault and more)
- Experience with implementation of DevOps best practices (version control, CI/CD, Azure DevOps, YAML pipelines)
- Experience with data analytics platforms, data visualization or Business Intelligence tools (preferably Power BI)
- Experience with data virtualization (Denodo)
- Excellent problem-solving skills, a proactive mindset, and the ability to collaborate effectively across technical and business teams
- Strong communication, and interpersonal skills, ability to influence sr. leadership and decision-making using data, market evidence
- Good track record in delivering business impact through process and IT enabled solutions, across multiple business lines
Preferred Qualifications & Skills
- Understanding of data mesh / fabric principles
- Understanding Datawarehouse design and ELT processes
- Experience in designing scalable architectures and automating business processes using AI
- Knowledge of cloud & webservice platforms such as Azure Databricks, RESTful Webservices
- Relentless for delivering business outcomes and value and simplification with a passion for science and advancing medicines to patients
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Skills
Application Integrations, Application Programming Interface (API) Security, Azure Data Factory, CI/CD, Cloud Engineering, Configuration Management (CM), Database Management, Data Engineering, Data Integration, Data Mesh, Data Warehouse Design, Front-End Development, Internet of Things (IoT), Mobile Development, RESTful API Design, Scalable Architectures, Security System Design, Software Development Life Cycle (SDLC), Version Control, Web Development, Web Services
Uniting science, technology and talent to get ahead of disease together.
Inclusion at GSK
Important notice to Employment businesses/ Agencies
Not included in the source posting: benefits.
Skills
Who can apply
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