Who We Are

We are looking for an experienced Senior Google Cloud Engineer to join a large-scale Telecommunications environment and contribute to the design, development, and operation of cloud-based data solutions on Google Cloud Platform (GCP).

The role has a strong focus on data engineering, data processing, orchestration, automation, and DevOps practices, using Google Cloud technologies including Dataflow, Dataproc, BigQuery, and Airflow.

The successful candidate will work closely with data engineers, cloud architects, DevOps teams, application teams, and business stakeholders to build reliable, scalable, and automated data platforms.

This is a senior hands-on engineering position requiring strong technical ownership and the ability to design and implement solutions following cloud and engineering best practices.

What You'll Be Doing

Design, build, and maintain scalable data solutions on Google Cloud Platform
Develop and operate batch and streaming data pipelines using Dataflow, Dataproc, and BigQuery




Build and manage data workflows and orchestration pipelines with Apache Airflow
Design reliable data ingestion, transformation, processing, and delivery solutions
Optimize data platforms for performance, scalability, reliability, and cost efficiency
Implement CI/CD pipelines, automation, and Infrastructure-as-Code using GitLab and DevOps practices
Monitor, troubleshoot, and support data pipelines, cloud services, and deployment environments
Ensure compliance with security, governance, and engineering standards
Contribute to architecture, technical design, code reviews, and engineering best practices
Create and maintain technical documentation
Collaborate with cross-functional teams in an Agile environment
Mentor junior engineers and support technical knowledge sharing

What You'll Bring Along

Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience
Strong hands-on experience with Google Cloud Platform, including Dataflow, Datap

📌 Senior Google Cloud Engineer (Ro)
🏢 Ntt Data Europe & Latam
📍 Ro