Company Background Our client is a leading global provider of advanced analytics, technology solutions, and clinical research services for the life sciences industry. The company combines large-scale healthcare data with AI-powered analytics to accelerate drug development, clinical trials, and commercialization for pharmaceutical and biotech companies. It was named to Fortune’s World’s Most Admired Companies list in 2026. Project Description As a Data Engineer, you will play a key role in building and optimizing data pipelines that power the forecasting and analytics platforms. You’ll work across a global engineering organization, collaborating with product managers, front-end and back-end developers, and fellow data engineers. Technologies * Python * SQL * Google Cloud and AWS * Data warehouse * JavaScript (legacy code support) * Snowflake
What You’ll Do * Design, develop, and optimize data pipelines and workflows for large-scale analytics and audience forecasting; * Work across the application stack, focusing primarily on backend data engineering; * Ensure code quality through reviews, testing, and adherence to best practices; * Collaborate with global engineering pods to maintain consistent coding standards; * Mentor and guide engineers and contractors, fostering technical growth; * Partner with product managers and peers to translate business requirements into scalable solutions;
Job Requirements * 5+ years of experience in data engineering, including at least 2–3 years in a senior-level role; * Proficiency in Python and SQL; * Hands-on experience with cloud platforms: Google Cloud and AWS preferred; Azure acceptable; * Strong understanding of data warehousing concepts; experience with BigQuery or similar technologies; * Ability to communicate complex technical concepts clearly to peers and stakeholders; * Bachelor’s degree in Computer Science or related field;
Nice to Have: * Experience with JavaScript to support legacy code; * Familiarity with Snowflake or other modern data platforms; * Exposure to AI/ML concepts and interest in applying them to data engineering; * Healthcare industry experience is a plus;
Please, note, that we will consider all the applications with due respect, but only shortlisted candidates will be contacted.
