Your mission

You will work on different projects to help Astrafy customers get the most out of their

data .
You will work on both the b usiness

and technical sides of customer use cases. Importantly, you will be onboarded with a clear trajectory as a

Team Leader , where you will

progressively

take charge of mentoring, guiding, and managing a dedicated squad of 5 team members as we scale.
Your core responsibilities will include:
Team Leadership & Growth:

Step into a team leader role, progressively taking charge of 5 team members. You will act as their mentor, foster their technical growth, and ensure high-quality project delivery.

Pipeline Design & Maintenance:

Design and maintain scalable data pipelines leveraging technologies such as Airflow, dbt, BigQuery, Pubsub, and other Google Cloud / Open Source tools, ensuring efficient and reliable data ingestion, transformation, and delivery.

Cloud Infrastructure Optimization:

Develop and optimize data infrastructure in the Google Cloud environment, implementing best practices for performance, cost, and security.





Infrastructure as Code:

Use Terraform to automate infrastructure provisioning and manage containerized workloads, promoting agility and repeatability across environments.

Data Governance & Quality:

Implement robust data governance, security, and quality measures, ensuring accuracy, consistency, and compliance throughout the data lifecycle.

Architecture Evolution:

Continuously refine data architecture to accommodate changing business needs, scaling solutions to handle increased data volume and complexity.

Innovation & Best Practices:

Champion a culture of innovation by researching, evaluating, and recommending emerging data technologies and industry best practices.

If you don't check every box, don't worry. No one knows everything, but we expect a great motivation to learn, take ownership, and become part of a supportive team. At Astrafy, everyone is learning and teaching others every day in the

📌 Senior Data Engineer (Madrid)
🏢 Astrafy
📍 Madrid