Data Engineer is required by an global technology innovation organisation to join their data science team and support and manage a cloud-based data platform used by data scientists. Responsibilities: Administering and maintaining cloud data platform and building data pipelines. Integrating software components into fully functional, production-ready data products. Troubleshooting workflow and pipeline issues, creating solutions and patches to help improve stability of data platform. Maintaining and administering databases; create new databases using APIs and ETL protocols for new projects. Support data scientists by ensuring scalable, reliable, and efficient data infrastructure. Required experience and skills: Data engineering experience. Exposure to Agentic AI systems and AI-driven workflows. Strong understanding of data models, data mining, data wrangling, and segmentation techniques. Experience with Python. Hands-on experience with SQL. MLOps environments experience.