Senior Lead Product Data Engineer (AI)

As a Senior Lead Full Stack Engineer, you will architect highly scalable, cloud-native data platforms that power our Disease Intelligence Analytics Products. You’ll help build the engine behind products used to accelerate drug discovery, evaluate treatment effectiveness, model patient journeys, and bring life-saving innovations to market.

Requirements

• 7 years of professional experience in data engineering, analytics engineering, or related disciplines
• Expert-level proficiency in SQL and relational database concepts
• Strong programming experience in Python for data pipeline development and automation
• Deep hands-on experience in dimensional data modeling, including star schema, snowflake schema, fact tables, and dimension tables
• Knowledge of slowly changing dimensions (SCDs), surrogate keys, grain definition, and hierarchical dimensions
• Experience designing, building, and maintaining ETL/ELT pipelines for production analytics and AI/ML data workflows
• Proven ability to lead technical initiatives and influence cross-functional teams
• Strong analytical, problem-solving, and communication skills

Benefits

• Hybrid working environment