Data Analytics Engineer (They/She/He)

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