Agilisium Consulting is a leading provider of autonomous, AI‑driven solutions for the Life Sciences sector, specializing in end‑to‑end data engineering, cloud migration, and advanced analytics. The company designs and co‑creates scalable, AI‑engineered business processes that streamline operations for pharmaceutical and biotech organizations, leveraging technologies such as AWS, SnapLogic, and generative AI. Its portfolio includes data lakehouse architecture, embedded analytics, intelligent bots (Alexa, Lex), and data observability tools that transform operational workflows into autonomous, data‑centric systems. By combining deep life‑sciences domain expertise with cutting‑edge data science and DevOps practices, Agilisium delivers end‑to‑end solutions that accelerate innovation and reduce time‑to‑market for its clients.
We are seeking a Data Engineer with 3–5 years of experience to build and optimize scalable data pipelines, data lakes, and data warehouses while ensuring data quality, governance, and security across analytics and machine learning use cases.
Agilisium Consulting is a leading provider of autonomous, AI‑driven solutions for the Life Sciences sector, specializing in end‑to‑end data engineering, cloud migration, and advanced analytics. The company designs and co‑creates scalable, AI‑engineered business processes that streamline operations for pharmaceutical and biotech organizations, leveraging technologies such as AWS, SnapLogic, and generative AI. Its portfolio includes data lakehouse architecture, embedded analytics, intelligent bots (Alexa, Lex), and data observability tools that transform operational workflows into autonomous, data‑centric systems. By combining deep life‑sciences domain expertise with cutting‑edge data science and DevOps practices, Agilisium delivers end‑to‑end solutions that accelerate innovation and reduce time‑to‑market for its clients.