Google Data Engineer

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., * Develop and maintain advanced, interactive dashboards in Looker, connected to models and data sources in BigQuery.

• Apply Generative AI (Gen AI) techniques to enrich data analysis, including automated generation of insights, explanations, or summaries.
• 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.

Do you have experience in Terraform?, * Minimum 2 years of experience as a Data Engineer, preferably in cloud environments.

• Proven experience working with Google Cloud Platform and tools like BigQuery, Dataflow, Data Fusion, Pub/Sub, Cloud Storage, etc.
• Strong programming skills in languages such as Python or Java, and experience with data processing frameworks (Apache Beam, Spark).
• Experience in designing relational and NoSQL databases.
• Strong experience writing complex SQL queries in BigQuery.
• Familiarity with DevOps practices (CI/CD, Terraform, Jenkins, Kubernetes).
• Ability to work in multidisciplinary teams and in agile environments.Proficiency with Looker (dashboards, LookML modeling, permissions, custom metrics).
• 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:

• Google Cloud Platform certifications (Data Engineer, ML Engineer).

• Experience with data governance and tools like Dataplex.

• Knowledge of real-time data processing and streaming.

• Basic knowledge of Python or R for exploratory analysis.

• Familiarity with tools such as dbt or Dataform.

• Experience with CI/CD practices in data environments.

• Competitive salary established by agreement based on experience/knowledge.
• Access to the company's flexible compensation plan.
• Possibility of teleworking and flexible hours.
• Work in a relaxed environment of trust, responsibility, and camaraderie.
• Work in a dynamic environment and on stable projects in different sectors

Izertis, with more than 28 years of experience, listed on the BME Continuous Market and among the 1,000 fastest-growing companies in Europe, offers you the opportunity to develop your professional career alongside more than 2,300 employees through its offices distributed throughout Europe, America, and Africa, with a presence in more than 50 countries where we provide services and projects through a broad portfolio of solutions.