Level

Delivery Hero (talabat)

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

AI in this role

prompt-engineeringai-safety

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.

NICE TO HAVE

  • 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 contribute to simple data transformations and documentation with guidance.

  • You can validate outputs and raise quality concerns when something does not look right.

  • You use AI-enabled tools responsibly to support your work, without blindly trusting the results.

  • You start connecting business problems with reliable data solutions.

  • You show curiosity, ownership and willingness to learn from feedback.

Over time, you will grow towards owning small data products independently and contributing to AI-enabled data initiatives with increasing autonomy.

 

IMPORTANT NOTE

This is not a pure AI Engineer role.

This is an Analytics Engineer I role within Data Enablement, with an expectation that the person will progressively develop AI competencies as part of the natural evolution of Analytics Engineering.

We believe AI will increasingly become part of how data teams work, but the foundation remains the same: trusted data, strong engineering practices, business understanding and responsible delivery.

 

We believe driven talent deserves:

  • 🌟 An enticing equity plan (dependent on level) that lets you own a piece of the action.

  • 💪 Top-notch private health insurance to keep you at your peak.

  • 🍔 Monthly Glovo credit to satisfy your cravings!

  • 💳 Discounts on transportation, food, and even kindergarten expenses.

  • 🏊 Wellhub membership to keep you energised.

  • 🏖️Flexible time off, the freedom to work from home two days a week, and the opportunity to work from anywhere for up to three weeks a year!

  • 👪 Enhanced parental leave, and office-based nursery.

  • 🧠 Online therapy and wellbeing benefits to ensure your mental well-being.

  • 📚 An external learning budget to fuel your thirst for knowledge and personal growth.

 

Additional Information

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!

How we rate this

Analytics Engineer I - AI & Data Enablement (They/She/He) at Delivery Hero (talabat) rates 48 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Prompt EngineeringAI Safety

Questions you could be asked

  1. How do you structure and test a prompt to get consistent output from a language model?
  2. How do you think about the risk of an AI system in this kind of role failing silently?
  3. This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
  4. Tell me about a time an AI tool got something wrong. How did you catch it?

Adapt your resume

  • List these exact terms on your resume: Prompt Engineering and AI Safety. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.

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