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 Description:

• 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.