DataX operates as a data and AI accelerator within a major financial group (SCBX), building compliance and observability infrastructure on Azure. The project mix—spanning data protection, privacy impact assessments, real-time monitoring dashboards, and an AI observability framework—signals heavy investment in regulatory automation and risk management. Hiring skews senior (3 of 6 roles) across data, engineering, and security, indicating a maturing internal platform rather than early-stage engineering.
DataX is a Bangkok-based data and AI platform built to serve financial services organizations, specifically SCBX and its partner ecosystem. Founded in 2022, the company operates as a 201–500-person unit focused on data centralization, customer insights, and AI-powered solutions. The tech stack is Azure-native (Azure AI Services, Azure AI Foundry, Kubernetes), with Python, Go, and TypeScript as core languages, plus observability tooling (Prometheus, Grafana, ELK stack) for production systems. Core projects address regulatory reporting, data governance, privacy compliance, and real-time monitoring—reflecting the compliance demands of financial services.
Azure cloud (AI Services, AI Foundry, Log Analytics), Python, TypeScript, Go, Kubernetes, Docker, LangChain/LangGraph for AI orchestration, and Prometheus/Grafana/ELK for observability.
Data protection, privacy compliance automation, AI observability frameworks, real-time monitoring dashboards, and data models for banking products (credit, deposit, payments). Heavy focus on regulatory reporting and privacy risk mitigation.
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