Analytics Engineer I - AI & Data Enablement (They/She/He)

Glovo 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.

YOUR MISSION As a Junior Analytics Engineer in our AI & Data Enablement team, you will be focused on building reliable data foundations and enabling the next generation of data products at Glovo. This is an entry-level role for someone who wants to grow in Analytics Engineering while developing strong foundations in AI-enabled data work. This is not a pure AI Engineer role, but we are looking for someone who is already AI-savvy and has practical experience using AI tools to improve their work. We expect the candidate to understand both the value and the limitations of AI-generated outputs. As part of DataX, you will help us make data more accessible, reliable and useful for business teams, while progressively contributing to initiatives involving AI-assisted workflows, data quality, documentation, automation support and GenAI-enabled data experiences. You will work closely with Data Analysts, Product Managers, Business stakeholders and other Data teams to understand problems, build trusted data assets and support the responsible use of AI in data work. THE JOURNEY Build High-Impact Data Models: Design reliable datasets and data models that power critical business decisions across global teams. Master Modern Analytics & SQL: Write clean, production-grade SQL transformations using industry best practices for version control, testing, and data quality. Pioneer AI-Driven Engineering: Put your AI literacy to work on real-world Analytics Engineering initiatives, leveraging prompt design, context grounding, and responsible AI practices. Solve Real Business Problems: Partner with cross-functional stakeholders to automate manual workflows, remove friction, and build smarter data products. Fast-Track Your Growth: Work side-by-side with senior engineers in a supportive environment designed to help you rapidly evolve into an autonomous Analytics Engineer.

WHAT YOU WILL BRING TO THE RIDE 1–2 Years of Data Experience: Background in Analytics/Data Engineering, BI, Math, Computer Science, or a related field with strong analytical problem-solving skills. Core Technical Toolkit: Solid SQL fundamentals (joins, aggregations, debugging), working knowledge of Python, and basic Git practices. Data Modeling & Modern Stack: Familiarity with core modeling concepts (facts, dimensions, granularity) and an eagerness to work with tools like BigQuery, dbt, and Looker. AI-First Mindset: Above-average literacy using GenAI for coding, analysis, or workflow automation; paired with a strong commitment to validation and responsible usage. Collaborator & Communicator: High attention to detail, clear communication skills across technical and non-technical teams, and fluent English. Glovo Culture Fit: A hands-on, proactive attitude with high energy, adaptability, and great team-player vibes.

Exposure to BigQuery, dbt, Looker or similar tools. Experience using AI tools in more advanced ways, such as prompt iteration, code review support, data exploration, workflow automation or output evaluation. Understanding of APIs, data pipelines or workflow automation concepts. Exposure to process improvement, automation, process intelligence or operational analytics use cases. Previous professional, internship, academic or personal project related to data, analytics or AI. Interest in responsible AI, data governance, privacy and quality. WHAT SUCCESS LOOKS LIKE In your first months, success will mean: You understand the main data assets, tools and workflows used by the team. You can