Senior Data Engineer: AI-Driven Banking Reconciliation

Westpac Group; Australia; On-site; AUD 150,000 - 190,000; Full time

Benefits offered by this job

Special offers on banking products

Employee mortgage rate discounts

Flexible work arrangements

Leave options: Culture, Lifestyle and,

Learning and development opportunities

Community volunteering initiatives

Job summary

Westpac Group is seeking a Senior Data Engineer in Australia to join a high-performing team at the intersection of data, finance, automation and AI. The role focuses on data engineering, analytics and AI to support reconciliation across Banking products, leveraging AI agents and intelligent automation to modernise financial operations.

Responsibilities include designing data solutions, analyzing transaction data, investigating exceptions, building AI-enabled workflows, and delivering dashboards

Responsibilities

• Designing, developing and maintaining data solutions supporting interest and fee reconciliation processes.
• Analyzing large volumes of banking transaction data to identify trends, anomalies and opportunities for improvement.
• Investigating reconciliation exceptions and implementing sustainable solutions.
• Developing AI-enabled workflows and intelligent automation solutions.
• Building AI agents capable of conducting exception investigations, root-cause analysis and reporting.
• Creating dashboards, monitoring tools and management reporting using Power BI and advanced analytics.
• Leveraging Generative AI and Copilot technologies to automate documentation, reporting and business insights.
• Partnering with Finance, Treasury, Product, Pricing, Technology, Data & Analytics, Risk and Compliance stakeholders to drive strategic outcomes.

Job description

Westpac Group is seeking a Senior Data Engineer in Australia to join a high-performing team at the intersection of data, finance, automation and AI. The role focuses on data engineering, analytics and AI to support reconciliation across Banking products, leveraging AI agents and intelligent automation to modernise financial operations.

Responsibilities include designing data solutions, analyzing transaction data, investigating exceptions, building AI-enabled workflows, and delivering dashboards