Data Engineer

Permanent employee, Full-time · Hybrid, Madrid

Your mission

You will work on different projects to help Astrafy customers get the most out of their data. You will work on the business and technical sides of the customer use case.

Design and maintain scalable data pipelines leveraging technologies such as Airflow, dbt, BigQuery, and Snowflake, ensuring efficient and reliable data ingestion, transformation, and delivery.
Develop and optimize data infrastructure in the Google Cloud environment, implementing best practices for performance, cost, and security.
Utilize Terraform and Kubernetes to automate infrastructure provisioning and manage containerized workloads, promoting agility and repeatability across environments.
Implement robust data governance and quality measures, ensuring accuracy, consistency, and compliance throughout the data lifecycle.
Collaborate with cross-functional teams to design and deploy Looker dashboards and other analytics solutions that empower stakeholders with actionable insights.
Continuously refine data architecture to accommodate changing business needs, scaling solutions to handle increased data volume and complexity.
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.

In addition to these core responsibilities, we strongly value knowledge-sharing and community engagement. At Astrafy, we are active contributors on platforms like Medium, where we regularly publish articles to share our expertise, insights, and innovations, helping to grow both our community and industry presence.

As part of the role, the candidate will also be encouraged to write articles, offering valuable insights and thought leadership to enhance Astrafy's impact further and foster greater collaboration within our field.

Your profile

Educational Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
Professional Experience: 1+ years of hands-on experience in data engineering or software engineering roles, building and optimizing data pipelines.
Technical Expertise: Proficiency in SQL and at least one programming language (e.g., Python), with a proven track record of working with modern data stack components like Airflow, dbt, and BigQuery or Snowflake.
Cloud Knowledge: Familiarity with Google Cloud Platform (GCP) services for data storage, orchestration, and analytics; experience with other cloud providers is a plus.
Infrastructure as Code (IaC): Understanding of Terraform for automating infrastructure setup and management, plus exposure to container orchestration with Kubernetes.
Analytics & Visualization: Experience with BI tools such as Looker, including designing and developing dashboards for data-driven insights.
Data Governance & Security: Knowledge of best practices for data quality, lineage, and security, ensuring compliance with relevant regulations and standards.
Team Player: Strong communication and collaboration skills, with the ability to work effectively within cross-functional teams to deliver impactful data solutions.
Continuous Learning: Curiosity to stay updated on emerging data technologies, practices, and frameworks, and to share knowledge across the organization.
Strong data visualization skills to convey information and results clearly
You speak English fluently, and a word of French and/or Spanish is a plus

Was this list a bit much? Don't worry - we don't expect you to tick every box from the beginning.

Why us?

What We Offer

Attractive Salary Package: No blurry or hidden clauses. Everything is transparently outlined in our Gitbook (https://astrafy.gitbook.io/handbook/its-all-about-people/compensation)
Genuine Innovation: An exciting role where technology innovation is more than a buzzword—it's how we operate daily.
Strong Values & Culture: Become part of a dynamic team that lives by solid values. Learn more in our “Culture and Values” chart (https://docs.astrafy.io/handbook/the-company/culture-and-values)
Continuous Learning: We offer ongoing training and development for both soft and hard skills. Check out our training policy (https://docs.astrafy.io/handbook/its-all-about-people/training)
Flexible Work Environment: Enjoy flexible hours and remote work options. Discover more here. (https://docs.astrafy.io/handbook/the-company/remote-work)
Team-Building & Retreats: Thrive in a supportive environment, supported by regular team activities. Learn more here (https://docs.astrafy.io/handbook/its-all-about-people/team-building-and-retreat).
And Much More: Our handbook (https://docs.astrafy.io/handbook/) covers all you need to know about who we are and how we work.

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About us

Our mission is to help companies and individuals solve data analytics challenges across the full data journey—from ingestion to transformation to distribution—leveraging a Modern Data Stack. We find that many organizations lack the internal expertise to harness emerging data tools, and we aim to educate them while implementing powerful solutions.
We achieve this by creating a new kind of consulting company that:

Fosters Creativity & Strategic Thinking: We embrace out-of-the-box solutions tailored to each client’s needs.
Prioritizes Education: We ensure every project delivers both technical solutions and the knowledge to sustain them.
Invests in People: We nurture our employees’ growth and well-being, recognizing they are our most important asset.

As a Google Cloud partner, we host most solutions on Google Cloud. We’re experts in dbt, Airflow, Airbyte, datahub and are continually exploring emerging technologies to stay ahead of market trends.

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We are looking forward to hearing from you!

Thank you for your interest in Astrafy. Please fill out the following short form. Should you have difficulties with the upload of your data, please send an email to hr@astrafy.io.