Data Engineer Microsoft D365 FO

duvari group; St. Louis (MO); On-site; USD 110,000 - 150,000; Full time

Job summary

duvari group is seeking a Data Engineer to design and optimize data pipelines into Microsoft Dynamics 365 Finance & Operations, enabling reporting and analytics for a manufacturing environment.

You will build ETL/ELT processes with Azure data services, integrate data from multiple ERP platforms, and collaborate with cross-functional teams to deliver scalable data solutions and BI capabilities.

Qualifications

• 2–5+ years of experience in Data Engineering or related field.
• Experience with D365 F&O or other enterprise ERP platforms.
• Strong Python and SQL development skills.
• Hands-on with Azure data technologies including Synapse, Fabric, ADF, SQL, Data Lake, and Databricks.
• Experience building ETL/ELT pipelines from multiple systems.

Responsibilities

• Design, develop, and maintain data pipelines into D365 F&O.
• Build ETL/ELT processes using Microsoft Azure data services.
• Transform and prep data from multiple ERP platforms for reporting.
• Improve data quality, automation, and pipeline performance.
• Collaborate with business/tech teams to meet data needs.
• Support data warehousing, reporting, AI, and analytics initiatives.
• Participate in Agile development, testing, and documentation.

Skills

Python

SQL

ETL/ELT

Azure

D365 F&O

Data warehousing

Data integration

Problem solving

Tools

Azure Synapse Analytics

Azure Data Factory

Azure SQL

Azure Data Lake

Databricks

Microsoft Fabric

Job description

We're partnering with an established manufacturing organization seeking a Data Engineer to support enterprise data integration and analytics initiatives. This role focuses on building and optimizing data pipelines that move information from multiple ERP systems into Microsoft Dynamics 365 Finance & Operations (D365 F&O), enabling reporting, analytics, and business intelligence.

This is an excellent opportunity for someone who enjoys data engineering, cloud technologies, and solving complex integration challenges in a manufacturing environment.

What You'll Do

• Design, develop, and maintain enterprise data pipelines into D365 Finance & Operations.

• Build ETL/ELT processes using Microsoft Azure data services.

• Extract, transform, and prepare data from multiple ERP platforms for reporting and analytics.

• Improve data quality, automation, and pipeline performance.

• Partner with business and technical teams to understand data requirements and deliver scalable solutions.

• Support data warehousing, reporting, AI, and advanced analytics initiatives.

• Participate in Agile development, testing, documentation, and continuous improvement efforts.

Qualifications (Required)

• 2–5+ years of experience in Data Engineering or a related field.

• Experience working with Microsoft Dynamics 365 Finance & Operations (D365 F&O) or other enterprise ERP platforms.

• Strong Python and SQL development skills.

• Hands-on experience with Microsoft Azure data technologies, including:

  • Azure Synapse Analytics

  • Microsoft Fabric (or Synapse migration experience)

  • Azure Data Factory

  • Azure SQL

  • Azure Data Lake

  • Databricks

• Experience building ETL/ELT pipelines and integrating data from multiple systems.

• Strong analytical, troubleshooting, and problem-solving skills.

Qualifications (Preferred)

• Manufacturing or Supply Chain industry experience.

• Experience migrating or integrating data from ERP platforms such as SAP, Infor, or similar enterprise systems.

• Knowledge of D365 Customer Engagement (CE).

• Experience with Power BI, Azure DevOps, Entra ID, Key Vault, and modern Microsoft data platforms.

• Exposure to AI, machine learning, or advanced analytics initiatives is a plus.

What We're Looking For

• Someone who enjoys building scalable data solutions.

• A collaborative team player who communicates well with both technical and business stakeholders.

• An engineer who takes ownership, continuously improves processes, and enjoys solving complex data challenges.

Compensation:

$130,000 per year