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.


