Analytics Engineering Manager (AI & Agentic Analytics)

foodpanda; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

foodpanda is building an AI Center of Excellence and seeks an Analytics Engineering Manager (AI & Agentic Analytics) to lead and contribute hands-on. You will mentor analytics engineers, write code, design models, and ship LLM-powered automations that accelerate business and product teams.

As a player-coach, you will own the semantic layer in dbt and BigQuery, ensure data quality, and build observability for AI initiatives.

Qualifications

• Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or a related field.
• Around 5+ years in analytics engineering or data engineering with strong data modeling, ELT, and warehousing experience.
• Around 3+ years leadership or mentoring experience with analytics engineering teams
• Advanced proficiency in SQL and Python.
• Experience in designing, developing, and rollout large scale automation / data driven solutions with proven impact (LLM solution a plus).
• Hands‑on expertise with dbt and BigQuery (or equivalent platforms such as Snowflake or Redshift)
• Familiar with semantic layers, metrics frameworks, and metadata management.
• Excellent project management capabilities, including technical discovery, scope definition, resource planning, and progress tracking.
• Clear communicator who can explain tradeoffs to non-technical partners.

Responsibilities

• Lead and mentor analytics engineers while remaining hands-on with code and design.
• Ship AI that transforms how we work: Identify high-impact automation opportunities and bring them to life with LLMs.
• Own the semantic layer that powers everything: Design and maintain the metrics, entities, and metadata foundation in dbt and BigQuery that analysts and AI agents rely on.
• Make AI observable and continuously improve: Implement evaluation and monitoring frameworks using tools like Langfuse or Phoenix.
• Build and maintain a rock‑solid foundation: Own core ETL pipelines, warehouse modeling, and data quality on BigQuery.
• Partner strategically across the business: Collaborate directly with stakeholders across different business and product functions to translate complex challenges into elegant data solutions.
• Stay pragmatic with technology: Build with our proven stack—dbt, BigQuery, LlamaIndex, ADK, and n8n—while evaluating new tools that add real value. Lead with technical depth and business judgment.

Skills

Leadership

SQL

Python

dbt

BigQuery

Data Modeling

ELT

Warehousing

Metadata Management

Communication

Project Management

Education

Bachelor's degree

Tools

Snowflake

Redshift

n8n

LlamaIndex

ADK

Job 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.

Job Description

We are building an AI Center of Excellence and we are looking for a dynamic Analytics Engineering Manager (AI & Agentic Analytics) to be a player-coach to lead it from the inside. You will manage a team of analytics engineers, but you will also write code, design models, and ship LLM-powered automations that make different business and product functions measurably faster.

This is not a strategy-deck role. It's for someone intrinsically motivated by the question: *what should analytics look like when agents can query, reason, and act on our data?*

Responsibilities

• Lead and mentor a high-performing team: Develop analytics engineers while remaining hands‑on with code and design. Set best practices, foster collaborative code reviews, and create an environment where your team ships predictable, high-quality work.
• Ship AI that transforms how we work: Identify high-impact automation opportunities and bring them to life with LLMs. Build internal copilots, workflow agents, and intelligent data QA bots that measurably accelerate across different business and product teams. See your work directly impact the business.
• Own the semantic layer that powers everything: Design and maintain the metrics, entities, and metadata foundation in dbt and BigQuery that both analysts and AI agents rely on. Be the architect of a trusted, scalable data language that becomes the single source of truth across the organization.
• Make AI observable and continuously improve: Implement evaluation and monitoring frameworks using tools like Langfuse or Phoenix. Track quality, cost, latency, and drift in real-time, then close the loop with data-driven improvements. Build a culture of accountability and excellence.
• Build and maintain a rock‑solid foundation: Own core ETL pipelines, warehouse modeling, and data quality on BigQuery. Keep the infrastructure reliable so your team can focus on innovation and impact.
• Partner strategically across the business: Collaborate directly with stakeholders across different business and product functions to translate complex challenges into elegant data solutions. Be the bridge between business needs and technical excellence.
• Stay pragmatic with technology: Build with our proven stack—dbt, BigQuery, LlamaIndex, ADK, and n8n—while thoughtfully evaluating new tools that add real value. Lead with both technical depth and business judgment.

Find out more about our Data and Analytics folks here:

• Turn insights into impact!
• Looking for a career in data analytics? This could be the opportunity for you!

Qualifications

• Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or a related field.
• Around 5+ years in analytics engineering or data engineering with strong data modeling, ELT, and warehousing experience.
• Around 3+ years leadership or mentoring experience with analytics engineering teams
• Advanced proficiency in SQL and Python.
• Experience in designing, developing, and rollout large scale automation / data driven solutions with proven impact (LLM solution a plus).
• Hands‑on expertise with dbt and BigQuery (or equivalent platforms such as Snowflake or Redshift)
• Familiar with semantic layers, metrics frameworks, and metadata management.
• Excellent project management capabilities, including technical discovery, scope definition, resource planning, and progress tracking.
• Clear communicator who can explain tradeoffs to non-technical partners.

Additional Information

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.

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 16 markets in both regions.