KKP's Data Exchange team is hiring a Data Engineer to support secure and reliable data movement across the organization, including ingestion into the enterprise data platform and system-to-system integrations. Responsibilities include building scalable ingestion pipelines, implementing data quality checks, designing workflow orchestration, and supporting inbound and outbound data exchange while applying governance and privacy principles. The role requires hands-on experience delivering end-to-end data solutions, proficiency in Python and SQL, and strong practical experience with Databricks, Apache Spark, and Kafka or similar streaming technologies. Familiarity with workflow orchestration tools such as Airflow or Azure Data Factory, cloud data platforms on Microsoft Azure, and solid engineering practices including testing, version control, and CI/CD is expected.
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KKP's Data Exchange team is hiring a Data Engineer to enhance how data moves across the organization, including ingestion into the enterprise data platform and system-to-system integrations. The role involves building scalable, resilient pipelines, implementing data quality checks, managing workflow orchestration, and supporting outbound data delivery on Azure. The position partners with stakeholders across business domains to define data exchange requirements and apply data governance and privacy principles. Kiatnakin Phatra Bank delivers banking and capital-market services nationwide, and the team values clean code, curiosity, and shared learning. The role requires hands-on experience delivering end-to-end data solutions, proficiency in Python and SQL, and strong practical experience with Databricks and Apache Spark. Candidates should have experience with streaming or event-driven pipelines using Kafka, workflow orchestration tools such as Airflow or Azure Data Factory, and cloud-based data platforms on Microsoft Azure, with AWS exposure considered a plus.
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