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 DescriptionJob 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.
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?
Delve into our culture by taking a peek at our Instagram and check out our LinkedIn and website!
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 Principles here.
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?
Delve into our culture by taking a peek at our Instagram and check out our LinkedIn and website!
Skills Required
- 1–2 years of hands-on experience in Analytics Engineering, Data Analytics, Business Intelligence, Data Engineering, or a similar technical data role.
- Strong SQL foundations, including independently writing, debugging, and optimizing analytical queries.
- Understanding of data modeling fundamentals, including joins, granularity, fact and dimension tables, entities, data quality, and downstream consumption.
- Practical experience using AI tools such as ChatGPT, Copilot, Gemini, or similar, including validating their outputs.
- Strong analytical thinking and problem-solving skills, with the ability to break ambiguous problems into clear steps.
- Fluent English and the ability to explain technical topics to technical and non-technical stakeholders.
- Proficiency in Python or another programming language.
- Hands-on experience with Git and collaborative engineering practices.
- Exposure to BigQuery, dbt, Looker, APIs, data pipelines, or workflow automation concepts.
- Interest in AI-enabled data products, responsible AI, data governance, or Analytics Engineering.
- Relevant internship, bootcamp, academic or personal project, or experience in a fast-paced product, technology, or marketplace environment.
Delivery Hero Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Delivery Hero and has not been reviewed or approved by Delivery Hero.
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Wellbeing & Lifestyle Benefits — Wellbeing and everyday support include on-site gym access in Berlin, discounted sports memberships, commuter help, and food vouchers, with hybrid flexibility enhancing day-to-day experience. Feedback suggests these lifestyle perks meaningfully bolster the total package for many corporate roles.
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Healthcare Strength — Mental health and preventive care are emphasized through an Employee Assistance Program, a Headspace subscription, and on-campus health check-ups, with guidance for navigating healthcare in Germany. Some locations also highlight private health insurance, adding depth to the health offering.
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Equity Value & Accessibility — Ownership programs feature an employee stock purchase plan with a matching component, and equity is common across corporate roles. Feedback suggests this accessible equity can be a notable part of total compensation in key hubs.
Delivery Hero Insights
What We Do
As the world’s leading local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech but driven by people. As one of Europe’s largest tech platforms, we enable ambitious talent to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you’re from or what you believe in, we build, we deliver, we lead. We are Delivery Hero







