Responsibilities

• Design, build and maintain data pipelines, lakes and warehouses; develop ETL jobs, stored procedures, functions and packages to ensure robust data storage and high‑quality data delivery.
• Provide technical guidance and integration: own and implement ETL operating standards, guide infrastructure for analytics and AI use cases, and collaborate with backend developers and IT architecture teams for seamless integration.
• Collaborate with Product Owners to understand and meet data needs, translate product requirements into engineering plans and roadmaps, and gather stakeholder requirements to build architectures aligned with business goals.
• Promote a culture of process and data quality by implementing best practices for data management and quality assurance, and supporting bug fixing and performance optimisation.
• Advocate for agile methodologies and iterative development, collaborating cross‑functionally to deliver proje...