Level

Delivery Hero (talabat)

Data II Analyst Engineer MX Global

Delivery Hero (talabat) is hiring a Data II Analyst Engineer MX Global in Barcelona, Spain. Level rates it ; you can apply on Level.

AI in this role

Build data models and analytics pipelines while utilizing AI coding assistants to support day-to-day workflow.

chatgptgeminicopilotsql
ai-safetyanalytics-engineeringdata-modellingsqlai-assisted-coding

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:

  • 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!

How we rate this

Data II Analyst Engineer MX Global at Delivery Hero (talabat) rates 45 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

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI SafetyAnalytics EngineeringData ModellingSQLAI Assisted CodingChatGPTGeminiCopilot

Questions you could be asked

  1. How do you think about the risk of an AI system in this kind of role failing silently?
  2. Tell me about a project where analytics engineering was part of your work. What did you do?
  3. Tell me about a project where data modelling was part of your work. What did you do?
  4. Tell me about a project where sql was part of your work. What did you do?
  5. Tell me about a project where ai assisted coding was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI Safety, Analytics Engineering, Data Modelling, SQL, and AI Assisted Coding. 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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