Senior GCP Data Engineer & Pipeline Architect

Ford México; Estado de México; On-site; MXN 600,000 - 900,000; Full time

Job summary

Ford México seeks a seasoned Data Engineer to design, build, and operate scalable data ingestion and curation pipelines on Google Cloud Platform (GCP). You will apply Python, SQL, and DBT/Dataform to ensure data quality, security, and reliability across analytics workloads.

Collaborate with data architects and cross‑functional teams to implement Terraform IaC and orchestrate pipelines with Astronomer, Dataflow, and Dataproc, while optimizing performance and cost.

Qualifications

• Bachelor's degree or equivalent practical experience in a related field.
• 5 to 7 years of experience in Data Engineering or Software Engineering.
• Strong English Skills
• Minimum 2 years of hands-on experience building and deploying cloud-based data platforms on Google Cloud Platform (GCP).
• Strong proficiency in SQL and Python.
• Experience with BigQuery, Dataflow, Dataproc, and cloud-based data processing technologies.
• Experience with Terraform, CI/CD pipelines, and automation frameworks.
• Knowledge of cloud security, data governance, and data quality best practices.

Responsibilities

• Design, develop, and maintain scalable data ingestion and curation pipelines.
• Lead cloud-based data platform initiatives on GCP.
• Implement data governance and security controls.
• Collaborate with cross-functional teams to define best practices for cloud data engineering.
• Automate data platform processes to improve reliability and efficiency.

Skills

SQL

Python

Java

GCP

CI/CD

IaC

Data governance

Data pipelines

Education

Bachelor's degree in Computer Science, Information Technology, Information Systems, Data Analytics, Engineering, or a related field

Tools

Terraform

Astronomer

Dataform

DBT

Airflow

BigQuery

Dataflow

Dataproc

Pub/Sub

Job description

Ford México seeks a seasoned Data Engineer to design, build, and operate scalable data ingestion and curation pipelines on Google Cloud Platform (GCP). You will apply Python, SQL, and DBT/Dataform to ensure data quality, security, and reliability across analytics workloads.

Collaborate with data architects and cross‑functional teams to implement Terraform IaC and orchestrate pipelines with Astronomer, Dataflow, and Dataproc, while optimizing performance and cost.