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TGV Cinemas Sdn Bhd

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Senior Data & AI Engineer

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Summary

Senior engineer to lead TGV Cinemas' Enterprise Data & AI Platform in-house: building a scalable AWS data platform, data pipelines and governance, QuickSight dashboards, APIs/internal web apps, and AI-powered automation, working directly with the CIO to reduce reliance on external vendors.

Lead the design, development and continuous enhancement of the organisation's Enterprise Data & AI Platform. This role is responsible for enterprise data management, analytics, AI solutions and digital innovation, while building internal capabilities and reducing reliance on external vendors.

Key responsibilities

  • Build and manage a scalable, secure AWS-based data platform.
  • Develop and maintain data pipelines, integrations and governance standards.
  • Ensure trusted, accessible data for analytics, reporting and AI initiatives.
  • Develop APIs, integrations and reusable technology components.
  • Build internal web applications and workflow automation solutions.
  • Deliver enterprise dashboards and reporting solutions using Amazon QuickSight.
  • Enable self-service analytics and data-driven decision-making.
  • Develop AI-powered solutions to improve productivity and automate processes.
  • Integrate AI capabilities into business applications.
  • Establish internal ownership of data and AI platforms.

About you

  • Bachelor's degree in Computer Science, IT, Data Science or related field.
  • Minimum 5 years' experience in Data Engineering, Cloud Engineering, Application Development, Data Warehousing or System Integration.
  • AWS, Microsoft, AI or Data Engineering certifications are advantageous.
  • Advanced SQL
  • Python
  • Data Modelling & Data Warehousing
  • ETL/ELT Development
  • Data Integration & REST APIs

Why Join Us?

Join us to lead our Data & AI transformation, working directly with the CIO to build enterprise-scale data, analytics and AI solutions. You'll have the opportunity to drive innovation, make a visible business impact, and grow your expertise across cloud, data and AI technologies

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