Senior Analytics Engineer (Data & Agentic Analytics)

Deliveryhero; Kuala Lumpur; Sur place; MYR 180 000 - 300 000; Plein temps

Avantages offerts par ce poste

Health and dental insurance

Learning opportunities

Diversity and inclusion

Résumé du poste

foodpanda, part of the Delivery Hero Group, seeks a Senior Analytics Engineer to shape data foundations and enable data-driven decisions. You will design scalable data marts, govern data quality, and champion agentic analytics across Product, Marketing, Logistics, and Finance.

You’ll drive semantic layers, observability, and global analytics adoption. You will partner with analytics teams and business stakeholders to deliver impactful AI-powered experiences, optimize data pipelines, and promote

Qualifications

• 8+ years of analytics, data governance and data modeling/engineering.
• Strong SQL and data modeling techniques (dimensional, star/snowflake).
• Experience with data warehousing and ETL/ELT processes.
• Familiarity with BI tools like Tableau or Looker.
• Excellent communication and collaboration across teams.
• Experience with agentic analytics or semantic layers is a plus.
• Experience with Langfuse or Phoenix Platforms is a plus.

Responsabilités

• Design, build, and maintain data marts/models.
• Establish data quality standards and document data lineage.
• Define metrics with stakeholders and ensure consistent usage.
• Develop docs/tools to empower analysts; promote self-serve analytics.
• Curate semantic/knowledge layers powering AI/agentic analytics; drive adoption and observability.
• Monitor and optimize data processes, pipelines, and queries.
• Collaborate with product, data engineers, analysts, and stakeholders.

Connaissances

Advanced SQL

Data modeling

Data warehousing

ETL/ELT

Data visualization

Python

JavaScript

Project management

Communication

Agentic Analytics

Formation

Bachelor’s degree in Computer Science, Engineering, or related field

Outils

Langfuse

Phoenix

Tableau

Looker

Description du poste

As a Senior Analytics Engineer , you will play a key role in shaping our data foundations and enabling data-driven decision-making across the organization. You will be at the forefront of our data and AI transformation , building agentic analytics solutions from the ground up and driving their adoption across business functions.

You will design, develop, and maintain core data models, data marts, semantic models, and knowledge layers that use by our data users and power AI Agents across Product, Marketing, Logistics, Commercial, Finance, and beyond. You will also champion data quality, governance, observability, and best practices to ensure our data foundations and Agentic solutions are reliable, trustworthy, and scalable.

We're looking for a curious, hands‑on builder who thrives on tackling complex challenges and turning ideas into reality. You combine deep technical expertise with a product mindset, constantly exploring how emerging technologies can unlock new possibilities. You don't just build data pipelines and models; you reimagine how people interact with data, turning complex business questions into intuitive, AI-powered experiences. Working closely with analytics teams and business stakeholders, you will have the opportunity to shape how the entire organization makes decisions, bringing innovative ideas from concept to production and delivering tangible business impact at scale.

Main Responsibilities

• Data Modeling and Architecture: Design, build, and maintain robust and scalable data marts/models that accurately represent business needs and support complex analyses.
• Data Governance and Integrity: Establish and enforce data quality standards, implement data validation checks, and ensure data lineage is clearly documented. Take ownership of data integrity issues and drive their resolution.
• Metrics Definition and Governance: Collaborate with function analytics teams and business stakeholders to define key metrics and ensure their consistent calculation and usage across the organization.
• Analyst & Self‑serve Enablement: Develop and maintain documentation, tools, and processes that empower analysts to access and utilise data effectively. Promote self‑serve analytics capabilities and increase organisational data maturity.
• Agentic Analytics Enablement & Governance : Collaborate with functional analytics teams and business stakeholders to curate and maintain the semantic and knowledge layers that serve as the single source of truth for metric definitions and domain context powering all AI and agentic analytics solutions. Drive the enablement and adoption of agentic analytics tools while establishing evaluation and observability frameworks to track accuracy, cost, latency, and drift for continuous performance optimization.
• Performance Optimisation: Continuously monitor and optimize data processes / pipelines and queries to ensure efficient data delivery and processing.
• Collaboration : Work closely with product teams, data engineers, analysts, and business stakeholders to understand requirements, gather feedback, and deliver impactful solutions.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Around 8+ years of experience in analytics, data governance and data modeling/engineering.
• Advanced SQL skills and experience with optimisation and data modeling techniques (e.g., dimensional modeling, star/snowflake schema).
• Strong understanding of data warehousing technologies, data transformation tools and ETL/ELT processes.
• Familiarity with data visualization (e.g., Tableau, Looker) and/or analytics enablement tools.
• Excellent communication and collaboration skills, with the ability to explain technical concepts to both technical and non‑technical audiences.
• Project management skills, experience in driving complex, large scale automation / data transformation projects in collaboration with a broad range of stakeholders across analytics, engineering, and business.
• Proficiency in at least one scripting language (e.g., Python, javascript) is a plus.
• Hands on experience with Agentic Analytics solution design, development and rollout (e.g., semantic layer, context layer, tracing & evaluation layer, harness) is a plus
• Experience working on evaluation design and working with platforms like Langfuse or Phoenix is a plus.

Find out more about our Data Analytics folks here:

Turn insights into impact!

Looking for a career in data analytics? This could be the opportunity for you!

What we offer

• A dynamic and challenging work environment.
• A company committed to developing you personally and professionally.
• A great working atmosphere with regular company and team events.
• A vibrant and international team committed to diversity and inclusion.
• Responsibility from day one in a fast growing and global company.
• Other benefits include free food, health and dental insurance, and learning and development opportunities!

foodpanda is operated by Delivery Hero Group ("DH Group") - the world's leading local delivery