ERP Data Integration Specialist (Infor System 21 / Azure)

Overview

We are seeking a highly skilled ERP Data Integration Specialist with proven expertise in Infor System 21 and a strong understanding of Finance & Controlling processes. This freelance engagement will support the integration of Infor System 21 into a Microsoft Azure-based data architecture, enabling advanced reporting, analytics, and financial process optimization. The role requires a unique hybrid of ERP knowledge, financial acumen, and technical integration skills, bridging the gap between business operations and modern cloud data platforms.

Responsibilities

• Support the integration of Infor System 21 data into a Microsoft Azure environment.
• Extract, transform, and prepare ERP data for analytics, reporting, and financial optimization use cases.
• Collaborate with Finance / Controlling teams to translate business requirements into data pipelines and integration flows.
• Ensure data quality, consistency, and accuracy across ERP and cloud-based reporting solutions.
• Optional / Preferred: Implement Azure Data Factory ETL pipelines or contribute to Synapse Analytics development.
• Advise on best practices for ODBC / JDBC connectivity, API integrations, or file-based data exchange (CSV, flat files).

Qualifications

• Strong hands-on experience with Infor System 21 ERP.
• Deep functional understanding of Finance and Controlling processes in ERP contexts.
• Proven ability to extract and transform ERP data for external systems.
• Experience working in cross-functional teams bridging IT and Finance.

Nice-to-Have Skills

• Microsoft Azure services (Data Factory, Synapse Analytics, Data Lake).
• Experience with ETL pipeline development and data engineering practices.
• Technical integration knowledge (ODBC / JDBC, APIs, flat-file exchanges).
• Strong problem-solving mindset and ability to translate business logic into technical solutions.

Contract Details

• Contract Type : Freelance / Project-Based
• Location : Remote (occasional onsite workshops possible)
• Start Date :
• End Date :
• Workload : 5 days per week
• Duration : 6 months (with extension option)

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