Data Engineer

In this role, you will: - Build and maintain scalable data workflows that connect various internal platforms, such as customer management, HR, and financial systems. - Automate data ingestion and transformation processes using contemporary cloud-based technologies. - Apply rigorous data quality checks and cleansing procedures to maintain integrity across datasets. - Work closely with architecture teams to define unified data representations across business areas and develop comprehensive datasets tailored for reporting and advanced analytics. - Harmonize performance indicators to enable consistent insights across departments. - Ensure data workflows are modular, version-controlled, and integrated with automated deployment pipelines. - Enhance the efficiency of data processing across both scheduled and real-time operations. - Implement systems for tracking data lineage, tagging, and operational logging. - Prepare structured datasets to support predictive modeling and other intelligent applications. - Empower business users with reliable, self-service data assets and partner with analytics teams to transition prototypes into scalable solutions. - Safeguard sensitive information in line with regulatory standards and enforce robust access management, encryption, and data lifecycle policies within data operations.