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

Overview
Aumente sus posibilidades de llegar a la fase de entrevista leyendo la descripción completa del puesto y enviando su solicitud sin demora.

As 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 / Beneficios

• equity plan
• private health insurance
• Glovo credit
• discounts on transport, food, and kindergarten
• Wellhub membership
• flexible time off; work from home 2 days a week; remote work up to 3 weeks/year

Responsabilidades

• Design 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 principales

• 1–2 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, xkdbapo 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