Senior GCP Data Engineer – Banking and Credit Decisioning

ITDSKraków, PolandPLN 333k–PLN 403k / yrPosted 3d ago

Jobs by Adzuna

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. #MAKEYourCareerBETTER 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.

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