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Glovo

Open 17d reposted 3× · 3 open copies

Data Analytics Engineer (They/She/He)

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Summary

Analytics Engineer I at Glovo (Barcelona) maintaining core data tools and governance, mainly Looker, while automating data processes with LLMs, n8n and Make and monitoring GCP usage and costs. Day to day: improving self-serve data support, advancing conversational analytics, and mentoring 3 interns alongside senior Data Engineers.

Overview

As Analytics Engineer I in Data Platform Enablement, you will help maintain Glovo’s core data tools and governance standards, enabling trusted data access across the business. You’ll drive automation, AI-assisted processes, and Looker enhancements to empower non-technical stakeholders. You will mentor interns and collaborate closely with senior Data Engineers and stakeholders to improve data consumption and support. This role offers hands-on ownership of data tools in a scaling, AI-influenced environment with a strong engineering foundation. You will contribute to a data-focused culture that values responsible delivery and cross-functional collaboration.

Compensaciones / Beneficios
  • private health insurance
  • meal benefits
  • discounts on transportation and food
  • discounted gym memberships
  • work from home two days a week
  • work from anywhere up to three weeks a year
Responsabilidades
  • Maintain and govern core data tools (Looker) and enforce governance standards across the company
  • Automate manual data processes using LLMs, n8n, Make, and API/MCP connections
  • Monitor GCP usage and costs and help define governance around cloud resources
  • Advance Looker towards conversational analytics for broader accessibility
  • Enhance the Data Support self-serve experience to reduce ticket-driven questions
  • Identify and propose improvements to data consumption and support across the company
  • Mentor and delegate tasks to 3 interns, providing feedback as they grow
  • Collaborate with senior Data Engineers and stakeholders across business areas
Requisitos principales
  • 2-3 years in Analytics Engineering, Data Analytics, BI, Data Engineering or similar
  • Strong SQL with ability to write, debug, and optimise queries
  • Proficiency in Python for data analysis and automation
  • Hands-on experience with Git/GitHub and collaborative engineering practices
  • Experience using LLMs and automation tools (n8n, Make, APIs)
  • Ambitious, independent mind-set with ownership of well-scoped tasks
  • English proficiency with ability to explain technical topics to varied audiences
  • ambitious and independent
  • clear communication
  • mentoring and collaboration
  • SQL
  • Python
  • Git/GitHub

Skills

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See also

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