Analytics Engineer

Extreme Reach; Kuala Lumpur; On-site; MYR 70,000 - 100,000; Full time

Job summary

A leading technology firm is looking for an Analytics Engineer in Kuala Lumpur. This high-visibility role involves transforming raw data into analytics-ready datasets and collaborating with Finance, Product, and Operations teams. Key responsibilities include building datasets using Medallion Architecture in Databricks, optimizing data pipelines, and ensuring data quality. Candidates should have advanced SQL skills, experience with Databricks, and strong communication abilities to work effectively with non-technical stakeholders.

Qualifications

• Hands-on experience with Databricks, including Delta Live Tables (DLT).
• Strong SQL and data modeling skills for efficient data transformation.
• Proficiency in modern data stack practices and data governance.

Responsibilities

• Build analytics-ready datasets using Medallion Architecture in Databricks.
• Design and optimize DLT pipelines for automated data transformations.
• Implement validation processes to ensure data quality and consistency.
• Collaborate with leaders across various departments for data-driven insights.

Skills

Advanced SQL skills

Collaboration skills

Data modeling expertise

Communication skills

Experience with BI platforms

Tools

Databricks

Looker

Power BI

Git

Job description

At XR, Analytics Engineers are the bridge between data engineering and data analysis. They transform raw data into trusted, analytics-ready datasets that empower analysts, data scientists, and business stakeholders to focus on insights and strategy. Think of Analytics Engineers as owning the user experience (UX) of data—ensuring it’s well-organized, reliable, and easy to use.

This is a high-visibility role where you’ll partner closely with leaders across Finance, Product, and Operations to ensure they have timely, accurate, and trusted data to drive critical decisions. You’ll also play a central role in XR’s hub-and-spoke BI model: maintaining centralized governance and standards, while enabling distributed analysts across the business to explore and self-serve with confidence.

Key Responsibilities

• Data Transformation & Modeling: Build analytics-ready datasets using a layered approach (Medallion Architecture – Bronze, Silver, Gold) in Databricks.
• Delta Live Tables (DLT): Design, manage, and optimize DLT pipelines to deliver reliable and automated transformations at scale.
• Enable Self-Service: Deliver curated, governed datasets in BI tools (Looker, Omni.co, etc.) to empower analysts and business stakeholders.
• Data Quality Monitoring: Implement validation and monitoring processes to ensure accuracy, consistency, and trust in data across all layers.
• Governance & Documentation: Define and maintain data naming conventions, dictionaries, and semantic models for standardization.
• Access & Security: Establish and enforce dataset access controls that balance governance with usability.
• Cross-Functional Collaboration: Work closely with Finance, Product, and Operations leaders as well as analysts, data scientists, and engineers to enrich semantic models and accelerate time-to-insights.

Requirements

• Advanced SQL skills and expertise in data modeling (star schema, dimensional modeling, semantic layers).
• Hands-on experience with Databricks, including Delta Live Tables (DLT).
• Experience building datasets with a layered architecture (Medallion: Bronze, Silver, Gold).
• Familiarity with ETL/ELT tools (dbt, Fivetran, Airflow, or similar).
• Experience with BI platforms (Looker, Power BI, Tableau, or Omni.co. Looker and Omni a plus).
• Understanding of data governance and self-service enablement.
• Strong communication and collaboration skills, especially when working with non-technical business leaders.
• Proficiency with Git and modern data stack practices.