SimplifyNext is a Singapore-headquartered digital engineering firm, with offices in Thailand and Malaysia, working across three converged areas: agentic AI, AI-enabled application modernisation, and intelligent automation. We bring strong business process consulting together with deep technology
Who We Are Located in the heart of Bangkok’s Phrom Phong District, Sertis is ASEANs leading Data and AI engineering and solutions company. Since 2014, our advanced solutions and products have powered over 400 enterprise Data
Job Description: Collaborate with stakeholders (Cloud Engineer, Project Manager) to define cloud infrastructure requirements for application and translate them into actionable infrastructure deployment plans. Prioritize and oversee infrastructure deployment and collaborate with team to ensure system
The Architect Cloud BI leads the design, implementation, governance, and optimization of mission-critical enterprise cloud-based Business Intelligence (BI) systems within our modern cloud data platform environment. Youll architect and oversee the development of cutting-edge BI solutions
Requirements Proficiency in Python and PySpark for data analysis, machine learning, and demand forecasting (regression + time series models) Experience with forecasting models such as LightGBM/ XGBoost and classical time series methods (e.g., ETS/ARIMA) Strong understanding
Job Summary We are seeking an experienced Senior Data Engineer to design, implement, and maintain our data infrastructure and pipelines. The ideal candidate will have a strong background in data engineering, big data technologies, and cloud
We are seeking an experienced Senior Data Architect to own the foundations every other data-platform role depends on: Infrastructure-as-Code (Terraform), CI / CD for data and ML, FinOps, the Change Advisory Board, and the reference architecture.
We are seeking an experienced Senior Data Engineer to own the pipeline-standardization and data-quality program for the enterprise lakehouse. This role ships compliance gates that block non-compliant deployments, stands up the data-quality framework, builds the dashboards