Full Stack Developer

Position: Full Stack Engineer — Data-Focused

Company: AI-native digital-solutions company, Wholly owned by a State Owned Enterprise

Working Arrangement: Fully Onsite

Salary : RM15,000 - RM19,000

We are looking for a Full Stack Engineer with strong data engineering capability to join a subsidiary, senior technology team based from a well-known company, building a new digital platform from the ground up.

This role is ideal for someone who is comfortable across full-stack development, but has a genuine strength and interest in data pipelines, lakehouse architecture, analytics, search, and AI-assisted development.

Key Responsibilities

• Build and maintain data ingestion pipelines from various data sources into a managed lakehouse environment
• Model and transform data across bronze, silver and gold layers
• Ensure data quality, freshness, incremental loading and pipeline reliability
• Develop analytical queries and scoring logic to turn raw data into useful business insights
• Build dashboards, reporting views and analytics-facing interfaces using React / Next.js
• Support search and retrieval capabilities using Azure AI Search or similar technologies
• Keep data models clean, portable, well-documented and scalable
• Work closely with cross-functional team members to deliver working software in short development cycles

Requirements

• Strong full-stack development experience using React / Next.js, TypeScript and Node.js
• Strong SQL and data modelling skillsExperience building ETL / ELT pipelines and working with a data warehouse or lakehouse
• Python experience for data-related work
• Good understanding of data quality, schema evolution, incremental loading and pipeline reliability
• Comfortable using AI-assisted development tools in daily engineering work
• Able to work independently in a small, high-ownership technical team

Added Advantage

• Experience with Microsoft Fabric, Azure Data Factory, ADLS, Synapse or Databricks
• Familiarity with dbt, Parquet, DuckDB or similar data transformation tools
• Exposure to Azure AI Search, vector search, RAG pipelines or AI-enabled platforms
• Knowledge of data governance or cataloguing tools such as Microsoft Purview

This is not a routine maintenance role. You will be part of a core engineering team building a new platform from zero to one, with direct involvement in data architecture, analytics, AI-enabled features and user-facing product development.