Resolve DataSpider product enquiries, investigate incidents, publish technical knowledge and coordinate support partners while improving service quality and customer experience.
About this role
Support company-wide AI adoption and digital infrastructure, from governance and guardrails to integration, data platforms and cloud operations. Responsibilities include developing AI-use initiatives and monitoring, automating data integration with iPaaS and ETL tools, designing Snowflake data marts and visualisation, and building and maintaining AWS, Azure and GCP infrastructure.
Applicants need roughly five or more years as an engineer and experience planning and advancing DX or AI projects. They must also meet at least one technical route: Python and SQL development; BI-based analysis and visualisation; cloud or data-warehouse design, construction and operation; or deploying systems in customer environments. All routes are not required. The role allows home working under team rules and uses products such as HULFT Square, DataSpider and Tableau.
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