Senior GCP Data Engineer

Project description

We are looking for the best people to help create the next big thing in digital banking.

Reason to join us

• We offer the opportunity to work in a highly professional environment where you will work with high-level financial instruments
• We want you to be part of our success story and give you reasons to be proud of what you achieved as part of our fabulous team
• We give you the opportunity to develop yourself and evolve in your career via our fantastic technical, business-related or soft skills training
• We encourage creative-thinking in our great open-minded work environment. Frequently the relaxation rooms are the place where the most ambitions ideas are born.
• We are not just professional teams, we are also friends who have fun working together
• The team is made up of enthusiastic professionals who work in an international environment, learning new technologies as part of client`s businesses.

Responsibilities

• Data Engineering & Architecture

• 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

• 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.

• BigQuery Engineering

• 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.

• PostgreSQL Engineering

• 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.

• Cloud Migration & Modernization

• 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.

• Data Governance & Security

• Implement IAM controls, encryption, auditing, and data protection standards.

• Apply data governance and compliance requirements across the cloud platform.

• Collaboration

• Participate in architecture reviews, code reviews, and engineering standards definition.

• Collaborate with product owners, architects, analysts, and platform teams to deliver business value.

Skills

• Must have

• 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), with the ability to build, manage, and optimize 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.

• Oracle SQL and PL/SQL knowledge.

• Experience with Ora2pg or similar migration tooling.

• Google Cloud Professional Data Engineer certification.

• Google Cloud Professional Cloud Architect certification.

• Experience with Terraform.

• Experience with containerized deployments using Docker and Kubernetes (GKE).

• Experience with Airflow / Cloud Composer.

• Experience with data governance, metadata management, and data quality frameworks.

• Experience with Google Cloud Dataflow for building and managing data processing pipelines.

• Experience with Google Cloud Dataproc for big data processing and analytics workloads.

• Experience with Google Cloud Pub/Sub for event-driven architectures and real-time data streaming.

• Python for data engineering, automation, data processing, and scripting tasks.

• Other

• Languages

• Romanian: C2 Proficient,English: C2 Proficient

• Seniority

• Senior

• Bucharest, Romania

• Req. VR-124385

• Data Platform Engineering

• BCM Industry

• 23/10/2026

• Require: Senior GCP Data Engineer in Bucharest