Descripción:
Are you passionate about challenges? Izertis is the company for you.

We are looking for a highly qualified Data Engineer to join our technology and data team. As a Data Engineer, you will be responsible for designing, building, and optimizing large-scale data processing systems to ensure that our data is accessible, reliable, and easily usable for analysis and reporting. If you are motivated by working in a dynamic environment and collaborating with analysis, development, and product teams, this opportunity is for you. You will join an innovative team where your work will be instrumental in driving data-driven decisions across the company.

Responsibilities:
- Develop and maintain advanced, interactive dashboards in Looker, connected to models and data sources in BigQuery.
- Experiment with tools such as Looker + GenAI integrations, including connectors with Vertex AI, Gemini, or similar technologies.
- Collaborate with product, engineering, and business teams to design intelligent data solutions focused on user experience.




- Design and maintain efficient LookML models and data structures.
- Ensure data quality, consistency, and governance within the Google Cloud Platform (GCP) environment.

Requirements:
- 1-2 years of experience as a Data Analyst or in a similar role.
- Proficiency with Looker (dashboards, LookML modeling, permissions, custom metrics).
- Strong experience writing complex SQL queries in BigQuery.
- Hands-on experience with Google Cloud Platform (GCP).
- Practical understanding of Generative AI tools or APIs applied to data analysis (e.g., insight generation, text-from-data generation, conversational agents). Ability to translate business questions into actionable data analysis.Nice to Have:
- Basic knowledge of Python or R for exploratory analysis.
- Familiarity with tools such as dbt or Dataform.
- Google Cloud certifications (Data Engineer, ML Engineer).
- Experience with CI/CD practices in data environments.

Requisitos mínimos:
Wh

📌 Google Data Engineer (Madrid)
🏢 Izertis
📍 Madrid