Senior Analytics Engineer (Data & Agentic Analytics)
About the company
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.
foodpanda is operated by Delivery Hero Group (“DH Group”) - the world’s leading local delivery platform, operating in 70+ markets across Asia, Europe, Latin America, the Middle East, and Africa. Delivery Hero started as a food delivery service in 2011 and now employs 40,000+ people globally. Additionally, Delivery Hero is pioneering quick commerce, the next generation of e-commerce, aiming to bring groceries and household goods to customers in under one hour and often in 20 to 30 minutes. Headquartered in Berlin, Germany, Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017.
In July 2024, Delivery Hero SE merged three of its market-leading food delivery businesses, foodora and Yemeksepeti in Europe, and foodpanda in Asia. All three businesses now make up the second-largest organization within the Delivery Hero Group, and leading food and QCommerce delivery in 17 markets in both regions.
Your tasks
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.
- 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.
Requirements
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.
- 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.
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!
Other
Additional Information Find out more about our Data Analytics folks here: