ING operates a large-scale banking infrastructure across 10,000+ employees, anchored in legacy enterprise systems (Oracle, SAP S/4HANA) alongside modern observability and streaming layers (Kafka, Elasticsearch, Prometheus, Grafana). The hiring mix is heavily finance-weighted (38 roles) relative to engineering (7), indicating a compliance and risk-management-first operational posture — consistent with their top pain points around regulatory integration and data consolidation rather than product velocity.
ING is a global bank headquartered in Amsterdam offering retail, wholesale, and private banking services across 14 countries including Germany, Belgium, France, Australia, and Singapore. The product portfolio spans personal banking, mobile payments, online platforms, and institutional financing. Current operational focus includes customer journey redesign, new trade transaction workflows, and cost efficiency initiatives alongside CI/CD infrastructure improvements. The company manages substantial regulatory and data integration complexity, with active projects in business continuity, service quality monitoring, and outsourcing optimization.
ING uses Oracle, PostgreSQL, SAP S/4HANA, Kafka for streaming, Kubernetes for orchestration, and Azure for cloud infrastructure. Analysis and reporting run on SAS, Python, R, Tableau, and Power BI. Monitoring spans Prometheus, Grafana, Elasticsearch, Logstash, and Datadog.
ING has 119 active roles across 14 countries: Germany, Belgium, France, Australia, Turkey, South Korea, Italy, Singapore, United Kingdom, Spain, China, Romania, Hungary, and Bulgaria. Finance roles dominate (38), followed by product (13) and sales (11).
Active projects include new feature development, customer journey design, operational setup for trade transactions, outsourcing optimization, CI/CD pipeline improvements, and business continuity planning. Pain points center on compliance integration, data consolidation, and AI value realization.
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