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

Posted Yesterday
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Barcelona, Cataluña, ESP
Hybrid
Junior
Information Technology
The Role
Build reliable datasets and production-grade SQL data models, applying data quality, testing, documentation, and version-control practices. Collaborate with analysts, product managers, and business stakeholders to automate workflows and deliver trusted data products. Use generative AI responsibly for coding, analysis, workflow automation, and data experiences while validating outputs. Contribute to data transformations and progressively develop ownership of small data products and AI-enabled analytics initiatives.
Summary Generated by Built In
Company Description

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 Description

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.

Qualifications

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!

Additional Information

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 experience in data, analytics engineering, data engineering, business intelligence, mathematics, computer science, or a related field
  • Strong analytical and problem-solving skills
  • Solid SQL fundamentals, including joins, aggregations, and debugging
  • Working knowledge of Python
  • Basic Git practices
  • Familiarity with data modeling concepts, including facts, dimensions, and granularity
  • Above-average literacy using generative AI for coding, analysis, or workflow automation
  • Ability to validate AI-generated outputs and use AI responsibly
  • High attention to detail
  • Clear communication with technical and non-technical teams
  • Fluent English
  • Hands-on, proactive, adaptable, energetic, and collaborative attitude
  • Exposure to BigQuery, dbt, Looker, or similar tools
  • Advanced experience with AI tools, including 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
  • Professional, internship, academic, or personal project experience related to data, analytics, or AI
  • Interest in responsible AI, data governance, privacy, and data quality

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.

  • 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.
  • 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.
  • 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

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The Company
HQ: Berlin
32,902 Employees

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

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