Senior GCP Data Engineer

Sales Consulting

. Design, develop, and maintain scalable data platforms and pipelines using Google Cloud services .

Posted 10/14/2026full-timeBucharest • RomaniaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and optimizing scalable data platforms using Google Cloud services, with a strong focus on BigQuery and PostgreSQL. Proficient in data ingestion, transformation, and governance, ensuring data integrity and compliance across cloud environments.

Highest-signal resume keywords

Google BigQuery ExpertisePostgreSQL AdministrationData Ingestion and TransformationData Governance and ComplianceCloud Migration Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

BigQuery SQLDatabase Performance TuningData ModelingPL/pgSQLDataflowDataprocCloud StorageCloud SQLIAM ControlsData Protection Standards

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

GitHubTerraformDockerKubernetesAirflowCloud ComposerOra2pg

Certifications & Qualifications

Google Cloud Professional Data EngineerGoogle Cloud Professional Cloud Architect

Industry Keywords

Data GovernanceMetadata ManagementData Quality FrameworksCloud-Native EnvironmentsOperational Readiness

Tech Stack

Tools & technologies

AirflowBigQueryCloudDockerGoogle Cloud PlatformKubernetesOraclePostgresPythonSQLTerraform

About the role

Key responsibilities & impact

Design, develop, and maintain scalable data platforms and pipelines using Google Cloud services
Implement data ingestion, transformation, and orchestration workflows using BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and Cloud SQL / PostgreSQL
Define data models, partitioning strategies, and storage architectures optimized for large-scale analytics
Implement batch and near real-time data processing solutions
Design, optimize, and maintain BigQuery datasets, tables, views, and data marts
Develop complex BigQuery SQL solutions for analytics and operational reporting
Optimize query performance, storage costs, partitioning, clustering, and workload management
Establish best practices for BigQuery governance, security, and performance monitoring
Design and develop PostgreSQL database solutions on GCP
Create and optimize database schemas, indexes, stored procedures, and PL/pgSQL code
Perform database performance tuning, capacity planning, and troubleshooting
Support migration and modernization of legacy databases to PostgreSQL
Support migration of legacy Oracle workloads to PostgreSQL and BigQuery
Assess existing database architectures and recommend modernization approaches
Collaborate with application teams to refactor data solutions for cloud-native environments
Ensure data integrity, security, and operational readiness during migrations
Implement IAM controls, encryption, auditing, and data protection standards
Apply data governance and compliance requirements across the cloud platform
Participate in architecture reviews, code reviews, and engineering standards definition
Collaborate with product owners, architects, analysts, and platform teams to deliver business value

Requirements

What you’ll need

Minimum 5 years of hands-on experience working with relational and analytical databases
Minimum 1 year of hands-on experience with Google BigQuery (GCP)
Proven expertise in Google BigQuery (GCP), including building, managing, and optimizing data solutions in a cloud environment
Proven expertise in PostgreSQL administration and development, including schema design, data integrity, performance monitoring, and troubleshooting
Proficiency with GitHub for version control and collaborative development
Nice-to-have: experience migrating Oracle databases to PostgreSQL and/or BigQuery
Nice-to-have: Oracle SQL and PL/SQL knowledge
Nice-to-have: experience with Ora2pg or similar migration tooling
Nice-to-have: Google Cloud Professional Data Engineer certification
Nice-to-have: Google Cloud Professional Cloud Architect certification
Nice-to-have: experience with Terraform
Nice-to-have: experience with Docker and Kubernetes (GKE)
Nice-to-have: experience with Airflow / Cloud Composer
Nice-to-have: experience with data governance, metadata management, and data quality frameworks
Nice-to-have: experience with Google Cloud Dataflow
Nice-to-have: experience with Google Cloud Dataproc
Nice-to-have: experience with Google Cloud Pub/Sub
Nice-to-have: Python for data engineering, automation, data processing, and scripting tasks