Job Description
📋 Description Define and execute a strategic technical roadmap for data pipelines. Lead design and implementation of advanced data pipeline features. Normalise and unify disparate data sources for AI training and research. Collaborate with robotics, ML engineering, and research teams. Develop interfaces to improve reliability and scalability. 🎯 Requirements 8+ years in software engineering with scalable data pipelines; 3+ years leading data eng projects. Technical leadership in a pipeline engineering domain. Expertise in DAG-based orchestration (Airflow, Flyte, Ray). Strong data engineering practices, distributed processing, and pipeline optimisation. Excellent communication and collaboration with interdisciplinary teams. Bachelor’s degree or higher in CS, Engineering, or related field. 🎁 Benefits Mentor and develop engineering talent. Contribute to hiring and onboarding to grow the data pipeline team. Inclusive culture with accommodations for interview process upon request.
