Senior Analytics Engineer: Agentic Data Foundations

foodpanda Malaysia Sdn Bhd (Corporate Office); Kuala Lumpur; On-site; MYR 180,000 - 240,000; Full time

Benefits offered by this job

Free food

Health and dental insurance

Learning and development opportunities

Job summary

foodpanda Malaysia Sdn Bhd (Corporate Office) is seeking a Senior Analytics Engineer to shape our data foundations and enable data-driven decisions across the organisation. You will build agentic analytics solutions and drive adoption across functions, partnering with analysts and stakeholders to produce impactful AI-powered insights.

You will design scalable data models, enforce data quality and governance, and collaborate on metrics, self-serve enablement, and continuous performance

Qualifications

• Bachelor's degree in Computer Science or related field.
• 8+ years in analytics, data governance and data modelling/engineering.
• Strong SQL, data warehousing, and ETL/ELT experience.
• Experience with data visualization tools and analytics enablement.
• Excellent communication and cross-functional collaboration.

Responsibilities

• Design, build, and maintain data marts/models for complex analyses.
• Establish data quality standards and lineage documentation.
• Define metrics with analytics teams and ensure consistent usage.
• Develop documentation, tools, and processes for self-serve analytics.
• Curate semantic and knowledge layers powering AI/agentic analytics.
• Monitor and optimize data pipelines and queries for performance.
• Collaborate with product, engineering, and business stakeholders.

Skills

Advanced SQL

Data modelling

Data warehousing

ETL/ELT processes

Data governance

Analytics enablement

Education

Bachelor's degree in CS/Engineering

Tools

Tableau

Looker

Langfuse / Phoenix

Job description

foodpanda Malaysia Sdn Bhd (Corporate Office) is seeking a Senior Analytics Engineer to shape our data foundations and enable data-driven decisions across the organisation. You will build agentic analytics solutions and drive adoption across functions, partnering with analysts and stakeholders to produce impactful AI-powered insights.

You will design scalable data models, enforce data quality and governance, and collaborate on metrics, self-serve enablement, and continuous performance