Senior Data Engineer

• Design, build, and maintain robust ETL/ELT pipelines using Python, SQL, and cloud-native tools
• Integrate data across transactional, accounting, and CRM systems (SQL Server, PostgreSQL, Sage One, Xero, and Dataverse)
• Deliver fit-for-purpose data products for advanced analytics
• Ensure data accuracy, security, and accessibility across millions of rows monthly
• Collaborate with architects, analysts, and developers to improve reliability and efficiency
• Research new opportunities for data acquisition and innovation
• Document, monitor, and optimize pipelines while following best practices

• Degree in Information Systems, Computer Science, Mathematics, Statistics, or Finance
• 8+ years of experience in data engineering or related roles
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