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