Senior GCP Data Engineer – Banking and Credit Decisioning

Ignite Data-driven Decisioning — shaping innovative financial solutions with scalable GCP expertise!

Krakow-based opportunity with hybrid work model (up to 3 remote days per week).

As a Senior GCP Data Engineer – Banking and Credit Decisioning, you will be working for our client, a leader in financial services supporting credit lending decisioning through advanced cloud-native architectures. Your expertise will contribute to migrating existing systems to Google Cloud, creating high-performance data stores, and enabling efficient, secure credit decisioning processes. This role offers the chance to play a pivotal part in innovative banking technology and career growth.

Your main responsibilities:

• Design and develop backend data processing applications leveraging GCP native storage systems like BigQuery, Cloud SQL, and GCP buckets.
• Build performant Airflow DAGs / Cloud Composer and Google Cloud Dataflow pipelines to deploy applications in GKE and process large datasets efficiently.
• Develop Looker reports aligned with business requirements, utilizing data pipelines automated via Airflow.
• Ensure cost-efficient, high-performance data processing and storage solutions.
• Integrate backend systems with front-end applications while maintaining strict security, authorization, and authentication standards.
• Create data pipelines for seamless data movement between on-premises systems and GCP using Juniper.
• Develop cloud-native, highly performant decisioning applications on GKE.
• Utilize GCP-managed services like Cloud Storage, Pub/Sub for real-time data updates and integration.
• Implement CI/CD pipelines using Cloud Build, GitHub Actions, or Jenkins to streamline deployment workflows.
• Maintain coding best practices, quality standards, and security protocols across all projects.

You're ideal for this role if you have:

• Minimum of 5 years’ experience with GCP native storage and processing systems such as BigQuery, Cloud SQL, and GCP buckets.
• Proven expertise in designing scalable storage solutions for SQL and NoSQL databases considering costs, volume, retention, and backup strategies.
• Hands-on experience with GCP services including Cloud Composer, Dataflow, GKE, Pub/Sub, Cloud Storage, and error log sinks.
• Strong knowledge of DevOps tools like Cloud Build, Cloud Logging, and Cloud Monitoring.
• Solid understanding of site reliability engineering (SRE) principles.
• Exposure to code quality/security tools like SonarQube, CyberFlow, and Jenkins.

It is a strong plus if you have:

• Experience in analytics and decisioning platforms.
• Knowledge of ML pipelines using Vertex AI, JupyterLab.
• Domain experience in banking, credit lending, or decisioning.
• End-to-end support experience in production environments.
• Performance tuning skills for highly available cloud systems.

Language Required for the role:

• English — good command and communicative level.

Eligibility for the role:

• Only candidates with an existing legal right to work in the European Union will be considered for this role.

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Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.