Data Engineer responsible for designing and developing cloud-based data pipelines for ING. Collaborating with international teams focusing on financial risk analytics in the cloud environment.
Responsibilities
Design, develop, and optimize cloud-based data pipelines.
Automate testing and ensure security, stability, and performance.
Work with structured and unstructured data across cloud and on-prem environments.
Contribute to architecture decisions and best practices.
Collaborate with teams to deliver high-quality, efficient solutions.
Requirements
Strong SQL and database expertise.
Experienced with Python or Java.
Experience with GCP (BigQuery, Dataflow, Cloud Composer) or other public cloud providers equivalents (AWS, Azure).
Knowledge of CI/CD tools (Azure DevOps, Git, Maven), Automated Testing, and Infrastructure as Code (e.g., Terraform).
Analytical and proactive mindset.
Advanced English proficiency.
Benefits
Work with cutting-edge cloud technologies (GCP, BigQuery, Dataflow, Terraform).
Be part of an agile, international team focused on innovation.
Enjoy a culture of continuous learning and career growth.
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