Your mission:
- Develop and maintain efficient and scalable data pipelines to ingest large volumes of structured and unstructured data from multiple sources into the Data Warehouse.- Manage and optimize data infrastructure, ensuring scalability and performance.- Optimize existing data workflows, ensuring reliability, scalability, and performance.- Implement best practices for monitoring, alerting, and maintaining production data systems.
- Design and implement data models optimized for analytics and BI tools.

Your profile:
- At least 4 years of experience as a Data Engineer in modern data environments.- Advanced proficiency in Python and SQL for pipeline development and data modeling.- Experience working with ELT / ETL processes from different sources.- Experience using dbt for data modeling.- Experience working in cloud environments (Google Cloud, AWS or Azure), preferably Google Cloud Platform.- Experience with orchestration tools such as Dagster, Airflow or Prefect.- Strong knowledge of code management, version control with Git, testing, and CI/CD practices.




- Solid understanding of Data Warehouse modeling techniques (star schema, snowflake schema, and galaxy schema).

NICE TO HAVE
- Experience working with NoSQL databases, especially MongoDB.- Knowledge of Kubernetes on GCP for deploying and managing data-related services.- Knowledge of DevOps tools such as Docker or Terraform.- Experience with BI tools such as Tableau, Power BI, or Looker.- Experience developing data ingestion pipelines in Python using dlt (data load tool)
- Interest in Machine Learning or AI projects.

Why us?:
Are you ready to unleash your full potential? At Fourvenues, we are revolutionizing a integral market worth over 100 billion dollars, empowering nightclubs, festivals, beach clubs, promoters, and bars around the world.

We are looking for ambitious individuals who want to make a meaningful impact on their professional careers and join a high-growth company. If you have the drive for exce

📌 Data Engineer (Valencia)
🏢 Fourvenues
📍 Valencia