Job Description

Job Ref ID: JR0086646

YOUR MISSION

Business teams at Glovo need data they can trust to make decisions — and that trust doesn't happen by accident. As part of the Marketplace Experience (MX) Data team, your mission over the next 12–18 months is to help build it: solid SQL foundations, well-documented data models, and validated outputs, while growing into someone who can own a data product from start to finish.

THE JOURNEY

- Support the development of reliable datasets, data models and analytical assets used by business and technical teams.

- Work with senior Analytics Engineers to translate business requirements into simple, well-defined data solutions.

- Write, test and maintain SQL transformations with a strong focus on quality, readability and documentation.

- Validate data outputs and ensure they are accurate, understandable and fit for purpose.

- Use AI tools where relevant to support your day-to-day work, always validating outputs before relying on them.

- Contribute to internal knowledge bases, documentation and best practices that help teams use data effectively.

- Collaborate with Business stakeholders, Product Managers and other Data teams to understand pain points and turn them into better data products.

- Grow into an autonomous Analytics Engineer capable of owning small data products end to end.

WHAT YOU WILL BRING TO THE RIDE

Must haves:





- 1–2 years of hands-on experience in Analytics Engineering, Data Analytics, BI, Data Engineering or a similar technical data role.

- Strong SQL foundations, with the ability to independently write, debug and optimise analytical queries.

- Solid understanding of data modelling fundamentals (joins, granularity, fact/dimension tables, entities, data quality, downstream consumption).

- Practical experience using AI tools (ChatGPT, Copilot, Gemini or similar), understanding where they add value, where they fail, and how to validate their outputs.

- Strong analytical thinking and problem-solving mindset, with the ability to break down ambiguous problems into clear steps.

- Fluent English, with the ability to explain technical topics clearly to both technical and non-technical stakeholders.

Nice to haves:

- Proficiency in Python or another programming language, and hands-on experience with Git and collaborative engineering practices.

- Exposure to modern data stack tools (BigQuery, dbt, Looker) and understanding of APIs, data pipelines or workflow automation concepts.

- Interest in AI-enabled data products, responsible AI, data governance or the evolution of Analytics Engineering.

- Relevant internship, bootcamp, academic or personal project, or previous experience in a fast-paced product/tech/marketplace environment.

📌 Data II Analyst Engineer MX Global (Barcelona)
🏢 Glovo
📍 Barcelona