Our business technology team is enhancing its data engineering capabilities with focus in financial services data including accounting, finance, and broader Enterprise Data initiatives. We are seeking a skilled Data Engineer, along with at least three years of experience, who will design, build, and maintain scalable data pipelines, integrations, and Lakehouse architectures utilizing Python, Microsoft Fabric, Azure DevOps, Jira and more.
Our Data Engineer will be able to do the following confidently and independently...
- Design, build, and optimize ETL/ELT pipelines utilizing Microsoft Fabric Notebooks (Python) and Fabric Pipelines.
- Utilize CI/CD pipelines (Azure DevOps, Git-based workflows, Fabric deployment pipelines, etc.) to automate code deployments, testing, and release processes.
- Maintain version control across code, pipeline definitions, SQL models, and integration scripts.
- Build and maintain integrations (initially Salesforce) for syncing data between source systems and the enterprise data warehouse in Microsoft Fabric.
- Architect and manage Lakehouse (Bronze/Silver/Gold) structures aligning with enterprise medallion best practices.
- Develop scalable data models for investment reporting, portfolio analytics, and capital markets insights.
- Ensure schema alignment, consistency, and auditability across all inbound data flows.
- Implement ongoing monitoring, validation, and reconciliation to support trusted investment and risk reporting.
- Maintain metadata, data dictionaries, and technical documentation in alignment with Enterprise data governance.
