Senior Data Engineer (Google Cloud Platform)
Pubblicato il 21-10-2026 - Ntt Data Europe & Latam in Emilia-Romagna
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We are looking for an experienced Senior Google Cloud Data Engineer to join a large-scale telecommunications environment and contribute to the design, development, and operation of modern data solutions on Google Cloud Platform (GCP).
In this role, you will be responsible for building scalable data platforms and processing frameworks that enable reliable data ingestion, transformation, analytics, and delivery across the organization.
You will work closely with data engineers, cloud architects, DevOps teams, application teams, and business stakeholders to deliver high-quality, cloud-native solutions following engineering best practices.
This is a senior hands-on engineering position requiring strong technical ownership, problem-solving capabilities, and the ability to drive solutions from design through production deployment.
What You'll Be Doing
Design, develop, and maintain scalable data platforms and solutions on Google Cloud Platform (GCP)
Build and operate batch and streaming data processing workloads using Dataflow, Dataproc, and BigQuery
Design and manage workflow orchestration using Apache Airflow
Implement reliable data ingestion, transformation, storage, and delivery architectures
Optimize data solutions for performance, scalability, reliability, and cost efficiency
Automate deployment processes through CI/CD pipelines, Infrastructure-as-Code, and GitLab-based DevOps practices
Monitor, troubleshoot, and continuously improve cloud services and data processing environments
Ensure compliance with security, governance, and operational standards
Contribute to solution architecture, technical design decisions, and code reviews
Create and maintain technical documentation and operational guidelines
Collaborate with cross-functional teams in an Agile environment
Mentor junior engineers and support knowledge sharing across the engineering community
What You'll Bring Along
Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience
Strong hands-on experience with Google Cloud Platform, including Dataflow, Dataproc, BigQuery, and related cloud-native data services
Solid understanding of data engineering architectures, ETL/ELT concepts, and large-scale distributed data processing
Experience designing and developing batch and real-time data solutions
Strong SQL skills and experience with data modeling and analytics workloads
Knowledge of GCP IAM, service accounts, monitoring, observability, and troubleshooting of cloud workloads
Strong experience with Apache Airflow, including DAG development, xysqume workflow scheduling, dependency management, and operational monitoring
Experience with Google Cloud Composer is considered an advantage
Experience with GitLab and GitLab CI/CD for automated build, test, and deployment workflows
Knowledge of DevOps principles, release automation, and Infrastructure-as-Code practices
Experience with Apache Beam, Apache Spark, or similar distributed processing frameworks is a plus
Strong analytical, troubleshooting, and problem-solving skills
Ability to take ownership of solutions throughout the entire lifecycle, from design to production support
Excellent communication and stakeholder management skills within cross-functional teams
Experience mentoring engineers and contributing to engineering best practices
Advanced English language skills (spoken and written)
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