Data Analytics Engineer MX Global

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.

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:

• 3 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.

At Glovo, your success is defined by both results and behaviors. We hire for excellence in craft and for the Leadership Principles that shape how we think, decide, and collaborate. What you achieve matters and how you achieve it defines us. Together, they move the business forward and deliver great experiences. Learn more about our Leadership Principleshere .

Here at Glovo, we thrive on diversity, we believe it enhances our teams, products, and culture. We know that the best ideas come from a mashup of brilliant diverse minds. This is why we are committed to providing equal opportunities to talent from all backgrounds - all genders, racial/diverse backgrounds, abilities, ages, sexual orientations and all other unique characteristics that make you YOU. We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone feels heard.

Feel free to note your pronouns in your application (e.g., she/her/hers, he/him/his, they/them/theirs, etc).

So, ready to take the wheel and make this the ride of your life?

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