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

OverviewAs a Junior Analytics Engineer in Glovo’s AI & Data Enablement team, you will help build reliable data foundations and enable data products across the business.You’ll contribute to AI-enabled workflows while strengthening data quality and documentation.You partner with analysts, product managers, and stakeholders to deliver trusted data assets and responsible AI usage.The role offers hands-on growth in analytics engineering within a global, fast-paced environment and a clear path toward owning data initiatives with increasing independence.Compensaciones / Beneficiosequity planprivate health insuranceGlovo creditdiscounts on transport, food, and kindergartenWellhub membershipflexible time off; work from home 2 days a week; remote work up to 3 weeks/yearResponsabilidadesDesign and maintain reliable data models that support business decisionsWrite production-grade SQL transformations with data quality and testing practicesContribute to AI-driven engineering initiatives using GenAI literacyAutomate manual workflows and build smarter data products in collaboration with cross-functional teamsGrow toward independent ownership of small data products and AI-enabled data initiativesRequisitos principales1-2 years of data experience in analytics/data engineering, BI, math, CSProficient SQL with debugging, joins, aggregations; working knowledge of Python; basic Git practicesFamiliarity with data modeling concepts (facts, dimensions, granularity) and tools like BigQuery, dbt, LookerAI-first mindset with solid GenAI usage for coding, analysis, or automation; emphasis on validation and responsible useStrong collaboration and communication skills; fluent English; proactive, detail-oriented team playerCultural fit for Glovo values: hands-on, adaptable, energeticstrong communication across technical and non-technical stakeholdersattention to detailproactive attitudeSQLPythonGit

flexible time off; work from home 2 days a week; remote work up to 3 weeks/year ResponsabilidadesDesign and maintain reliable data models that support business decisions Write production-grade SQL transformations with data quality and testing practices Contribute to AI-driven engineering initiatives using GenAI literacy Automate manual workflows and build smarter data products in collaboration with cross-functional teams Grow toward independent ownership of small data products and AI-enabled data initiatives Requisitos principales1-2 years of data experience in analytics/data engineering, BI, math, CS Proficient SQL with debugging, joins, aggregations; working knowledge of Python; basic Git practices Familiarity with data modeling concepts (facts, dimensions, granularity) and tools like BigQuery, dbt, Looker AI-first mindset with solid GenAI usage for coding, analysis, or automation; emphasis on validation and responsible use Strong collaboration and communication skills; fluent English; proactive, detail-oriented team player Cultural fit for Glovo values: hands-on, adaptable, energetic strong communication across technical and non-technical stakeholders attention to detail proactive attitude SQL Python Git