Data Analytics Engineer (They/She/He)
Summary
Analytics Engineer I on Glovo's Data Platform Enablement team in Barcelona: governs core data tools like Looker, automates data processes using LLMs and tools like n8n, Make and APIs, monitors GCP usage/costs, and mentors three interns to boost company-wide data self-serve. Core stack: SQL, Python, Git, Looker, GCP.
As Analytics Engineer I in Data Platform Enablement, you help govern Glovo’s core data tools and automate processes to keep data trustworthy and accessible. You will work with Looker, cloud governance, and AI-enabled automation to empower non-technical stakeholders and improve data self-serve capabilities. You’ll mentor interns, collaborate with senior engineers, and drive improvements across data consumption and tooling. This role combines hands-on data engineering with governance, offering a pathway to ownership of data products and contributions to AI-enabled initiatives.
Compensaciones / Beneficios- private health insurance
- meal benefits
- transportation discounts
- gym membership
- remote work up to two days a week
- enhanced parental leave
- Maintain and govern core data tools (e.g., Looker) and enforce governance standards
- Automate manual data processes using LLMs, n8n, Make, and API/MCP connections
- Monitor and contribute to GCP usage and cost governance
- Advance Looker towards conversational analytics for broader accessibility
- Enhance Data Support self-serve experience to reduce ticket-based questions
- Identify and propose improvements for data consumption and support across the company
- Delegate tasks and mentor 3 interns, providing feedback as they take on more complex work
- Collaborate with senior Data Engineers and stakeholders across Glovo
- 2-3 years of hands-on experience in Analytics Engineering, Data Analytics, BI, or related tech data role
- Strong SQL foundations with ability to write, debug, and optimise queries
- Working proficiency in Python for data analysis and automation
- Hands-on experience with Git/GitHub and collaborative practices
- Experience leveraging LLMs and automation tools (n8n, Make, APIs)
- Ambitious and independent mindset with ownership of well-scoped tasks
- English proficiency for technical communication
- ambition and independence
- communication with both technical and non-technical stakeholders
- mentoring or leadership potential
- SQL
- Python
- Git/GitHub