# Senior Analytics Engineer (Data & Agentic Analytics) at Delivery Hero (talabat)

Delivery Hero (talabat) is hiring a Senior Analytics Engineer (Data & Agentic Analytics) in Kuala Lumpur, Malaysia. Level rates it Works on AI ●●●○; you can [apply on Delivery Hero (talabat)](https://jobsbylevel.com/go/bb2b568c-41eb-41ea-b412-d0aaf5409658?utm_medium=ai-agent).

AI Level 3, AI centrality 75 out of 100. Kuala Lumpur, Malaysia.

## Details

- Company: [Delivery Hero (talabat)](https://jobsbylevel.com/companies/delivery-hero-talabat)
- AI level: AI Level 3 (score 75 out of 100)
- Location: Kuala Lumpur, Malaysia
- Posted: October 28, 2026
- Apply: https://jobsbylevel.com/go/bb2b568c-41eb-41ea-b412-d0aaf5409658?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-analytics-engineer-data-agentic-analytics-at-delivery-hero-talabat-63b151

## Prepare for this job

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## Description

foodpanda is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in around 65 countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. 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. 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

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