Candidate Requirements

Key Responsibilities

·        Lead Data Implementation: Lead and support all data activities across major Microsoft D365 implementation projects (Finance, Operations, or CE).

·        Data Pipeline Engineering: Develop and maintain data models, pipelines, and ETL/ELT processes to integrate D365 with core banking and external systems.

·        Data Quality & Compliance: Clean, validate, and transform data to ensure adherence to stringent banking compliance and regulatory requirements.

·        Business Intelligence (BI): Design and build powerful Power BI dashboards and insights to drive data-driven decision-making for leadership and operational teams.

·        Collaboration: Work closely with D365 functional/technical teams, BI developers, and business Subject Matter Experts (SMEs).

·        Governance: Implement and ensure strong data governance and metadata management practices across all D365 modules.

Essential Experience

·        D365 Implementation: Proven experience in Microsoft D365 implementations (Finance, Operations, or Customer Engagement) is essential.

·        Data Expertise: 5+ years of progressive experience in data engineering, data analytics, BI development, or data management roles.

·        Technical Stack: Strong SQL expertise and hands-on proficiency with modern ETL/ELT tools (e.g., Azure Data Factory, SSIS).

·        Data Management: Knowledge of data warehousing, data modelling, and integration frameworks.

·        Problem Solver: Strong problem-solving skills and resilience in a fast-paced, high-stakes project environment.

Highly Advantageous

·        Banking Data: Experience working with complex banking datasets (General Ledger, lending, customer records, payments, etc.).

·        Qualifications: Degree in Data Science, Computer Science, Information Systems, or a related field.

·        Certifications: Microsoft certifications in D365, Azure, or Power BI.