Global Data Engineer

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Location: United States - Minneapolis, MN

Hours: Monday – Friday;

Pay: $72,800 - $109,500

With more than $1B in revenue, Tennant Company is a globally recognized leader in the cleaning equipment industry. For the past 150 years, we have been passionate about developing and manufacturing innovative and sustainable solutions for our customers. At Tennant Company, we are committed to stewardship and creating a cleaner, safer and healthier world. With manufacturing, operations and sales, service, and support functions across the globe, your journey at Tennant can take you places you never expected.

The Global Data Science & Business Intelligence Team is focused on building an agile global Center of Excellence that supports strategic planning, roadmap development and deployment, global standards, and operating model governance in alignment with business and company objectives. The Global DSBI Team enables key strategic priorities and initiatives that improve operational excellence, cost management, customer satisfaction, and Tennant’s competitive position in the marketplace.

The Data Engineer will reside within the Global DSBI Team and support the data engineering, reporting, and analytics needs of Global Supply Chain and North America Business Unit (NABU) customers. This role will work under the direction of senior team members to build, maintain, validate, and improve data pipelines, data models, and reporting datasets that support supply chain/NAUB performance management, cost analytics, and business decision-making.

The role will partner with cross-functional stakeholders to gather requirements, clean and transform source data, troubleshoot data quality issues, and develop reliable data assets that make information easier to access, understand, and act on. The Data Engineer will also support process improvements, system projects, and strategic initiatives by helping translate business needs into scalable data solutions that strengthen Global Supply Chain and NABU capabilities.

• Support the development, maintenance, and validation of data pipelines, datasets, and reporting models used by Global Supply Chain and NABU customers.
• Assist with collecting, cleaning, transforming, and integrating data from multiple source systems to improve data accessibility, reliability, and usability.
• Partner with senior team members to build and enhance data models, semantic layers, and reporting datasets that support supply chain performance, cost analytics, and operational decision-making.
• Develop and maintain Power BI, Microsoft Fabric, Databricks, SQL, and other analytics assets in alignment with established team standards and business requirements.
• Perform data quality checks, reconcile outputs to source systems, and help troubleshoot issues related to data accuracy, completeness, refresh failures, and reporting inconsistencies.
• Analyze supply chain and NABU data to identify trends, performance gaps, process constraints, and opportunities for improvement.
• Translate business requirements into clear technical tasks, data logic, and reporting deliverables with guidance from senior data engineering and business intelligence team members.
• Create and maintain documentation for data sources, transformations, business rules, report logic, and support processes to improve knowledge sharing and long‑term sustainability.
• Support process improvement, system implementation, and strategic supply chain/NABU initiatives by preparing data, building analytical outputs, and validating results.
• Collaborate with cross‑functional stakeholders to understand reporting needs, explain data outputs, and help ensure insights are actionable for…