Data Engineer (Treasury)

Epergne Solutions is seeking a Treasury Data Engineer to join the data squad under the Treasury Data & Analytics team. The primary focus of this role is to contribute to the strategic pillars of the Treasury Data & Analytics team, which include: - Developing a common finance data model for GCFO that serves Treasury purposes with centralized control. - Building an optimized finance data architecture with straight-through processing (STP) to enable future initiatives like a self-service portal for business products and analytics. - Establishing a data governance model that encompasses policies, procedures, and business data ownership. - Monitoring and managing data quality through Data Quality Management System (DQMS) and the Issue Management Resolution process (IMR). - Implementing self-service data modeling capabilities enhanced by AI functionalities. - Providing a standardized and rationalized set of Analytics on the Treasury Landing Page with a user-friendly interface. Qualifications for this role include: - Demonstrated experience in data management and/or executing data operating models in transformation projects. - At least 6 years of overall work experience with a minimum of 2 years in relevant data management. - Proactive and independent work style with strong initiative. - Excellent communication and presentation skills. - Consistent high performance and alignment with the core values of the organization. - High energy levels, driven, and willing to put in the effort. - Detail-oriented team player with a pragmatic approach. - Hands-on experience in data management and operating models within Tier 1 Banks. - Strong stakeholder management and communication skills across different levels. - Proficiency in SAP products for planning and outlook, including SAP HANA Cloud, Datasphere, and SAP Analytics Cloud. - Experience with SQL, Python, or Scala. - Proficiency in ETL tools and data pipeline frameworks. - Hands-on experience with cloud-based data solutions such as AWS, BigQuery, Azure, etc. - Knowledge of API integrations, real-time data processing, and automation. - Understanding of data governance, security, and compliance reporting. - Familiarity with treasury operations, cash management, and investment tracking. - Strong comprehension of financial risk management, including FX, interest rate, and liquidity risk. - Ability to bridge business requirements with technical solutions. - Understanding of financial reporting, regulatory compliance, and audit processes. - Experience with real-time financial data processing and analytics. - Knowledge of machine learning models for treasury forecasting.,