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Job Purpose and Impact

• The Senior Professional, Data Engineering designs, builds, and maintains complex data systems that enable data analysis and reporting. This role includes a focus on Treasury-specific data solutions, ensuring high-quality financial data pipelines and models. You will work on scalable architecture to support treasury analytics and decision-making.

Key Accountabilities

• DATA INFRASTRUCTURE: Prepare and manage data infrastructure for efficient storage and retrieval of data.
• DATA PIPELINES: Develop and maintain batch and streaming pipelines to ingest and transform financial data into information and move to data stores like data lake, data warehouse and others.
• DATA MODELING: Performs complex data modeling in accordance to the datastore technology to ensure sustainable performance and accessibility. 
• AUTOMATED DEPLOYMENT PIPELINE: Develops automated deployment pipelines improving efficiency of code deployments with fit for purpose governance. 
• STAKEHOLDER MANAGEMENT: Collaborate with analysts, finance teams, and platform engineers to align solutions with business needs. 
• DATA SYSTEMS: Reviews existing data systems and architectures to identify areas for improvement and optimization. 
• DATA & ANALYTICAL SOLUTIONS: Develops complex data products and solutions using advanced engineering and cloud-based technologies, ensuring they are designed and built to be scalable, sustainable and robust. 
• INNOVATION: Prototype new frameworks and continuously optimize existing architectures to reduce technical debt and improve performance. 

Qualifications

• 10+ years of data engineering experience, with at least 4 years in senior roles. 

• Strong SQL and Python expertise for data manipulation and pipeline development. 

• Exposure to financial or treasury data domain is a huge plus 

• Good to have but not mandatory experience with Snowflake, Airflow, Astronomer, DBT