Data Engineer

Astrafy

Data Engineer working to help Astrafy customers get the most out of their data. Bridging business and technical aspects to provide scalable data platform solutions.

Posted 7/16/2026full-timeMadrid • 🇪🇸 SpainMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in architecting scalable data platforms using Google Cloud and open-source tools, while ensuring data quality and accessibility through robust ELT pipelines and CI/CD practices. Strong communication and collaboration skills are essential for translating business goals into technical solutions and fostering cross-functional teamwork.

Highest-signal resume keywords

Google Cloud Platform (GCP)Apache AirflowDbt CoreTerraformCI/CD Pipelines

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data Platform DesignELT Pipeline DevelopmentAutomated Data Quality FrameworksData Lineage MonitoringAccess Management

Soft Skills

Strong CommunicationCollaboration Skills

Tools & Technologies

Google BigQueryCloud StoragePub/SubCloud FunctionsGitHub Actions

Industry Keywords

Data InsightsCost-Efficient SolutionsBusiness-Ready InsightsCross-Functional TeamsEmerging Data Technologies

Tech Stack

Tools & technologies

AirflowApacheBigQueryCloudGoogle Cloud PlatformTerraform

About the role

Key responsibilities & impact

You will work on different projects to help Astrafy customers get the most out of their data.
Handle both the business and technical sides of the customer use case, bridging the gap between raw cloud infrastructure and business-ready insights.
Architect Tailored Solutions: Translate client business goals into highly scalable, cost-efficient data platform designs combining Google Cloud’s power with open-source flexibility.
Design and deploy modern exposition layers to keep insights accessible and cost-effective.
Set up automated data quality, lineage, monitoring frameworks and access management to guarantee high-trust data across business units.
Design and maintain robust ELT pipelines, generally powered by Apache Airflow and dbt Core, optimized for Google BigQuery.
Provision and manage GCP infrastructure (Cloud Storage, Pub/Sub, Cloud Functions) using Terraform, adhering to clean, declarative GitOps workflows.
Set up robust CI/CD pipelines (e.g., GitHub Actions) to automate testing, linting, and zero-downtime deployment of dbt and Airflow workflows.
Write articles, offering valuable insights and thought leadership to enhance Astrafy's impact further and foster greater collaboration within our field.

Requirements

What you’ll need

Knowledge and experience with the tools mentioned above or similar ones is valued.
Curiosity to stay updated on emerging data technologies, practices, and frameworks, and to share knowledge across the organization.
Strong communication and collaboration skills, with the ability to work effectively within cross-functional teams to deliver impactful data solutions.
You speak English fluently, and a word of French and/or Spanish is a plus.

Benefits

Comp & perks

Attractive Salary Package: No blurry or hidden clauses. Everything is transparently outlined in our Gitbook
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
Continuous Learning: We offer ongoing training and development for both soft and hard skills. Check out our training policy
Flexible Work Environment: Enjoy flexible hours and remote work options.
Team-Building & Retreats: Thrive in a supportive environment, supported by regular team activities.