Ambition Recruitment Hiring! Full Time Data Engineer in WP Kuala Lumpur - Ricebowl

Role Summary

A Lead Data Architect / Senior Data Engineering Lead who owns the overall data platform strategy, guides engineering teams, and builds high-performing, cost-efficient data infrastructure to power advanced analytics and reporting.

Core Responsibilities

• Drive Platform Architecture: Design and scale the enterprise data platform across Databricks and Microsoft Fabric.

• Lead Engineering & Pipelines: Oversee the build of fast, reliable data pipelines and dimensional models.

• Lead & Mentor Teams: Guide and upskill data engineers and data modelers in technical best practices.

• Bridge Business & Tech: Work with leadership and analysts to turn business goals into actionable data roadmaps.

• Governance & Quality: Establish clear standards for data quality, testing, lineage, and documentation.

• Optimization & DevOps: Streamline workflows for high performance and low cost using DevOps/CI/CD and FinOps practices.

Key Technical Skills

• Platforms: Databricks (Delta Lake, Unity Catalog) & Microsoft Fabric (Lakehouse, OneLake, Data Factory).

• Engineering & SQL: Advanced Spark/PySpark, batch/streaming/CDC pipelines, and expert-level SQL query tuning.

• Data Modeling: Dimensional modeling (star/snowflake), Data Vault, and metadata-driven frameworks.

• Operations: CI/CD automation, DevOps principles, and cost optimization (FinOps).

• System Integration: Connecting disparate sources like POS, ERP, cloud systems, and APIs into seamless data flows.

• Domain Expertise: Experience with Retail and POS data (or an ability to pick it up quickly).