Remote-First Data Engineering Intern: Build Scalable Pipelines

Astrafy; Madrid; Presencial; EUR 55.000 - 85.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Salary transparency

Innovation culture

Company values

Training & development

Flexible remote work

Team retreats

Descripción de la vacante

Astrafy is seeking a data-focused engineer to design and maintain scalable data pipelines in Google Cloud, using Airflow, dbt, BigQuery, Pub/Sub, and Snowflake. You will contribute across business and technical use cases, delivering reliable ingestion, transformation, and analytics.

You will collaborate with cross-functional teams to build BI dashboards, implement data governance, and explore new technologies.

Formación

• Experience designing and maintaining scalable data pipelines in cloud environments.
• Knowledge of data governance, security, and quality practices.
• Ability to collaborate with cross-functional teams to deliver analytics solutions.

Responsabilidades

• Design and maintain scalable data pipelines using Airflow, dbt, BigQuery, Pub/Sub, and Snowflake.
• Develop and optimize data infrastructure in Google Cloud with best practices for performance and cost.
• Use Terraform to automate infrastructure provisioning and manage containerized workloads.
• Implement robust data governance, security, and quality measures across the data lifecycle.
• Collaborate with cross-functional teams to deploy BI dashboards and analytics solutions.
• Refine data architecture to handle increasing data volume and complexity.

Conocimientos

Airflow

dbt

BigQuery

Pub/Sub

Snowflake

Terraform

Google Cloud

Data pipelines

BI dashboards

Data governance

Herramientas

Git

CI/CD

Looker

Descripción del empleo

Astrafy is seeking a data-focused engineer to design and maintain scalable data pipelines in Google Cloud, using Airflow, dbt, BigQuery, Pub/Sub, and Snowflake. You will contribute across business and technical use cases, delivering reliable ingestion, transformation, and analytics.

You will collaborate with cross-functional teams to build BI dashboards, implement data governance, and explore new technologies.