Turkish retail and wholesale bank modernizing data infrastructure and AI capabilities
ING Türkiye operates a five-figure employee base across retail, wholesale, and wealth management with a modernization agenda centered on data and AI. The tech stack reveals a hybrid legacy-cloud architecture (Oracle, SQL Server, Java) alongside newer data tools (Kafka, Spark, Airflow, dbt adoption), mirroring their active projects in data lakehouse design and streaming pipelines. Finance and sales dominate hiring (28 of 55 roles), while engineering and data roles remain sparse—a pattern consistent with a finance-led compliance roadmap (IFRS9, regulatory reporting) rather than a product-engineering transformation.
Notable leadership hires: Legal Reporting Lead, IT Risk Lead
ING Türkiye is a retail and wholesale banking operation based in Istanbul serving individual and institutional customers across Turkey. The bank manages three core business lines: retail banking (consumer deposits and lending), wholesale banking, and wealth management. With 5,001–10,000 employees, the organization is scaling to accommodate rising customer volumes and product complexity. Current operational priorities include modernizing legacy data warehouses, implementing a data lakehouse architecture, and integrating AI into financial market research and campaign optimization. Compliance demands (IFRS9, regulatory reporting) and credit risk modeling drive substantial engineering and infrastructure investment.
Oracle (RDBMS and Exadata), SQL Server, Java/Spring Boot, Kafka, Apache Spark, Airflow, dbt, Azure DevOps, and AWS. Recently adopting dbt for data transformation workflow automation.
Data lakehouse architecture design, AI integration into financial market research, modernizing legacy data warehouses, building scalable streaming pipelines, and compliance automation (IFRS9, regulatory reporting).
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