Job Description
Job Description
Join a leading manufacturing company, committed to precision, performance, and continuous improvement. Our data doesn't just sit in spreadsheets—it drives decisions, cuts costs, and fuels innovation. If you’re passionate about turning raw data into real impact, keep reading.
The Role:
We’re looking for a Data Engineer with hands-on experience in the manufacturing industry to help us level up our data infrastructure and analytics. You'll play a key role in building and optimizing data pipelines, connecting our Infor ERP system with tools like Tableau, and ensuring accurate costing data flows where it needs to.
What You'll Do:
- Design, build, and maintain scalable data pipelines for ERP and operational data
- Integrate Infor ERP data with Tableau dashboards for business users
- Collaborate with finance, operations, and IT to ensure accurate product costing and analytics
- Implement data quality and validation checks across the pipeline
- Optimize data storage, retrieval, and performance for reporting and analytics
What You Bring:
- 3+ years of experience as a Data Engineer or similar role, preferably in a manufacturing environment
- Strong knowledge of ERP systems and their data structures
- Proficient in SQL, ETL tools, and scripting
- Solid understanding of costing, BOMs, routings, and manufacturing workflows
- Familiarity with cloud data platforms (e.g., Azure, AWS) is a plus
- Strong communication skills—you can speak “data” and “shop floor”
Why You’ll Love It Here:
- Work with a team that values data-driven decisions
- High impact role with visibility across departments
- Competitive compensation and benefits
- A culture that respects process and encourages innovation
Apply Now:
Ready to transform data into manufacturing insights? Send us your resume and let’s talk.
• Proficiency in SQL - Structured Query Language, demonstrating the ability to manage and manipulate databases effectively.
• Experience with ERP systems
• Knowledge of ETL - Extract Transform Load, demonstrating the ability to manage data warehousing operations effectively.