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: o BigQuery o Dataflow o Dataproc o Pub/Sub o Cloud Storage o 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

• Deep Observability Expertise (ideally New Relic APM, Infrastructure, Logs, Synthetics, NRQL, full-stack tracing). Google Cloud Platform (GCP) Monitoring Fundamentals (New Relic integration with GCP, native GCP monitoring, GCP resource hierarchy, IAM, networking). Reliability Engineering mindset focused on availability, resiliency, automation, observability, and continuous improvement. Ability to understand, define, and monitor Critical User Journeys (CUJs) effectively, bridging the gap between business requirements and technical implementation. Proficiency in building clear, intuitive, and actionable application support dashboards that cater to both technical and business stakeholders. Knowledge of SLI/SLO concepts and production stability best practices. Strong experience in L2/L3 Production Support, troubleshooting, root cause analysis, incident resolution, and problem management. Minimum 5 years of experience in supporting and maintaining mission-critical applications and platforms (99.9% uptime), preferably in a financial or banking environment. Understanding of Microservices architecture, APIs, and application integration patterns. Experience with monitoring and observability tools such as Splunk, Grafana, Geneos, or similar solutions. (While New Relic is primary, broader observability tool experience is valuable). Knowledge of CI/CD pipelines (e.g., Jenkins, GitHub Actions, Cloud Build) and deployment automation. Proficiency with GitHub for version control and collaborative development. Familiarity with cloud-native development and deployment practices on GCP. Strong analytical and problem-solving skills with the ability to work under pressure in production environments. Experience working with Oracle Databases and SQL. Understanding of middleware and messaging technologies (IBM MQ, JMS, Kafka, Solace is an advantage). Experience working within Agile delivery teams and collaborating effectively in virtual and cross-functional teams.

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.