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Senior Data Engineer

You will work on different projects to help Astrafy customers get the most out of their data. You will work on both the business and technical sides of customer use cases. Importantly, you will be on a newly opened Astrafy workpla...

Job Full source details
Astrafy Careers Mexico Source published Aug 28, 2026 Verified 2 weeks ago
✓ 92% verification score · Source: Astrafy Careers · Always confirm final requirements on the original source.
Complete source information imported The available role or programme description, requirements, benefits and source facts were imported from the public official endpoint and formatted for reading.
Senior Data Engineer at Astrafy Careers
EmploymentPermanent · Full Time
DepartmentData Engineering

Overview

You will work on different projects to help Astrafy customers get the most out of their data. You will work on both the business and technical sides of customer use cases. Importantly, you will be on a newly opened Astrafy workplace in Monterrey, where you will progressively take ownership and responsibility over the engineering team as we scale. Your core responsibilities will include: Leadership: You will act as a mentor, foster 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 per

Full job description

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 business and technical sides of customer use cases. Importantly, you will be on a newly opened Astrafy workplace in Monterrey, where you will progressively take ownership and responsibility over the engineering team as we scale.

Your core responsibilities will include:

  • Leadership: You will act as a mentor, foster 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.

Qualifications And Requirements

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

  • 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?

Requirements & qualifications

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

  • 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.

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