Lead Data Engineer - gradion

At Gradion, we are the strategic partner for ambitious businesses, helping them achieve breakthrough growth through Digital Innovation and Deep Tech.

With a global vision and an AI-first approach, we enable clients to reshape strategies, optimize systems, and adopt cutting-edge technologies to create sustainable value.

From AI and data to cybersecurity, robotics, and large-scale enterprise platforms, Gradion designs practical solutions that lay the foundation for the next generation of billion-dollar companies.

OUR FACTS & FIGURES:

• 23+ years of expertise – Gradion builds digital platforms & deep-tech solutions.
• 3 continents: Asia, Europe and Africa.
• 300+ specialists across 7 countries Vietnam, Singapore, Thailand, Saudi Arabia, Germany, Egypt, Indonesia.
• 100+ enterprise clients, including several unicorns (e.g., Alaiko, HomeToGo, Roadsurfer).
• Vietnam's Best IT Company – recognized by ITViec for 8 consecutive years, including 2 consecutive years of ranking #1 (2024 and 2025).
• ISO 27001.

About The Role:

We are looking for a Lead Data Engineer to drive the design and delivery of modern data solutions that transform complex operational and financial data into scalable, self-serve analytics platforms. As the technical lead, you will own the architectural design and implementation of AI-driven, self-serve analytics layers, particularly utilizing the Microsoft ecosystem (Dataverse, Power Platform, Microsoft Fabric, and Copilot). You will be responsible for bridging the gap between operational and financial systems, architecting custom solutions, including proprietary API integrations, to deliver intelligent, natural-language reporting capabilities.

What You Will Do:

• Lead technical discovery and scoping sessions to define business requirements and validate architectural feasibility.
• Design and build robust data platforms and pipelines, including custom integrations between enterprise applications (e.g., Xero to Dataverse).
• Manage the technical roadmap for AI-driven analytics, ensuring optimal configuration and scalability within the Microsoft Fabric ecosystem.
• Proactively manage technical risks, including licensing/capacity planning and long-term maintenance expectations for custom integrations.
• Collaborate with stakeholders to ensure data integrity and accurate mapping between operational processes and financial reporting.
• Design solutions that empower end-users with self-service, natural-language query capabilities.

What You Will Bring:

• 7+ years of experience in Data Engineering/Data Platform Engineering.
• Extensive, hands-on experience with the Microsoft ecosystem, specifically Microsoft Fabric, Dataverse, Power Platform, and Power BI.