Senior Data Engineer en Madrid, España

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 their role.

Your profile

• Technical Expertise: Deep knowledge and hands-on experience with the modern data stack tools mentioned above (or similar ones) is highly valued.



• Leadership & People Skills: A strong motivation or proven capability to step into a leadership position. You are ready to progressively take charge of 5 team members, guiding their workflows and supporting their career progression.




• Continuous Learning: Curiosity to stay updated on emerging data technologies, practices, and frameworks, and a passion for sharing knowledge across the organization.




• Team Player: Strong communication and collaboration skills, with the ability to work effectively within cross-functional environments to deliver impactful, high-craftsmanship data solutions.




• Languages: You speak English & Spanish fluently. A working knowledge of French is a definitive plus.

Why us?

• Attractive Salary Package: No blurry or hidden clauses. Everything is transparently outlined in our Gitbook (


• Genuine Innovation: An exciting role where technology innovation is our daily job. We don’t get stuck with old technologies and practices. We encourage learning, testing and taking initiatives.


• Strong Values & Culture: Become part of a dynamic team that lives by solid values. Learn more in our “CultureandValues” chart(


• Continuous Learning: We offer ongoing training and development for both soft and hard skills. Check out our trainingpolicy (


• Flexible Work Environment: Enjoy flexible hours and remote work options. We want the job to adapt your circumstances. Discover more here.(


• Team-Building & Retreats: We organise two team-building per year in an exciting European location, along with several activities during the year. Learn more here (


• And Much More: Our handbook ( covers all you need to know about who we are and how we work.

We use an artificial intelligence assistant to help evaluate applications and assess qualifications based on job-related criteria. This tool assists our team by organizing and reviewing applicant responses;however,all final decisions regarding screening, interviewing, and hiring are made entirely by human recruiters.