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Analytics Engineer I - AI & Data Enablement

Spain, Barcelona · Job Posted May 31, 2026
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Job Description

We are looking for an Analytics Engineer I to join Data Enablement, our team 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.

Job Responsibility

  • Support the development of reliable datasets, data models and analytical assets used by business and technical teams
  • Work with more senior engineers to understand business requirements and translate them into simple, well-defined data solutions
  • Write, test and maintain SQL transformations with a strong focus on quality, readability and documentation
  • Help validate data outputs and ensure they are accurate, understandable and fit for purpose
  • Apply your existing AI literacy to real Analytics Engineering use cases, including prompt design, context grounding, hallucination risks, human validation and responsible AI usage
  • Contribute to internal knowledge bases, documentation and best practices that help teams use data and AI-enabled tools safely
  • Collaborate with stakeholders to understand repetitive pain points, manual processes and opportunities where better data products can improve decision-making
  • Learn and apply engineering best practices around version control, testing, monitoring, data quality and access control
  • Grow into an autonomous Analytics Engineer capable of owning small data products and contributing to AI-enabled data initiatives

Requirements

  • 1-2 years of experience in Analytics Engineering, Data Analytics, Data Engineering, BI, Computer Science, Engineering, Mathematics, Statistics or a related field
  • Strong foundational knowledge of SQL, including joins, aggregations, filtering, date logic and basic query debugging
  • Basic understanding of data modelling concepts such as fact tables, dimensions, entities, joins, granularity and data quality
  • Proficiency in Python or another programming language for data work, automation or analysis
  • Hands-on experience with Git or similar collaborative software development practices
  • Above-average AI literacy: practical experience using AI or GenAI tools for coding, analysis, documentation, exploration or productivity
  • Clear understanding that AI-generated outputs need to be reviewed, validated and used responsibly
  • Interest in modern data stack tools such as BigQuery, dbt, Looker or similar technologies
  • Strong analytical thinking and problem-solving mindset
  • Ability to communicate clearly with both technical and non-technical stakeholders
  • High attention to detail and willingness to document your work properly
  • Good vibes, team player and hands-on attitude
  • Fluency in English

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 we offer

  • 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
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