Global Data Engineer

The Global Data Engineer role supports Tennant Company’s Global Data Science & Business Intelligence Team by delivering reliable data pipelines, data models, and reporting datasets. You will help teams across Global Supply Chain and the North America Business Unit (NABU) by turning source data into validated outputs that support supply chain performance and operational decision-making.

This onsite position is based in Eden Prairie, MN, with a Monday–Friday schedule and a base pay range of USD 72,800 - 109,500 per year.

What you’ll do

• Support the development, maintenance, and validation of data pipelines, datasets, and reporting models used by Global Supply Chain and NABU customers.
• Collect, clean, transform, and integrate data from multiple source systems to improve accessibility, reliability, and usability.
• Partner with senior team members to build and enhance data models, semantic layers, and reporting datasets for supply chain performance and cost analytics.
• Develop and maintain analytics assets including Power BI, Microsoft Fabric, Databricks, SQL, and related tools in line with team standards and business requirements.
• Run data quality checks, reconcile outputs to source systems, and help troubleshoot issues such as accuracy, completeness, refresh failures, and reporting inconsistencies.
• Analyze supply chain and NABU data to identify trends, performance gaps, process constraints, and improvement opportunities.
• 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.
• Support process improvement and strategic supply chain/NABU initiatives by preparing data, building analytical outputs, and validating results.
• Collaborate with stakeholders to understand reporting needs, explain data outputs, and support actionability for non-technical users.
• Follow data governance, security, change control, and development best practices when creating or modifying data assets.
• Continue building technical knowledge in data engineering and business intelligence, including Microsoft Fabric, SAP S/4HANA, Databricks, and related tools.

Required qualifications

• Bachelor’s degree in Computer Science or Data Analytics/Science required (Master’s preferred), with an associated technology-related minor such as Data Analytics, Statistics, Information Systems, Management Information Systems, Business Analytics, or a related field.
• 1–3 years of related experience in data analytics, data engineering, business intelligence, statistics, supply chain analytics, or a related technical field. Internship, co-op, academic project, or applied business experience may be considered.
• Foundational knowledge of data analysis, statistical methods, data modeling, data transformation, and data validation concepts.
• Working knowledge of SQL and at least one analytical or statistical programming language such as Python or R.
• Experience or coursework with business intelligence, database, or analytics platforms such as Power BI, Microsoft Fabric, Databricks, Power Platform, Excel, cloud data platforms, or similar technologies.
• Ability to collect, clean, transform, reconcile, and interpret structured data from multiple sources.
• Basic understanding of data pipelines, semantic models, reporting datasets, and data quality controls preferred.

Preferred experience

• Exposure to ERP, supply chain, procurement, manufacturing, logistics, or SAP S/4HANA data.
• Certifications or continuing education in Power BI, Microsoft Fabric, Databricks, SQL, Python, data analytics, data engineering, or related technologies.

Technologies you’ll work with

• Power BI
• Microsoft Fabric
• Databricks
• SQL
• Power Platform
• Excel
• Python
• R
• SAP S/4HANA

Benefits

• Multiple medical plan options
• 401(k) with a 100% match up to 6%
• Paid vacation time
• Up to 8 paid company holidays
• 3 personal holidays per year
• Dental and vision coverage
• Wellness rewards
• Robust family support programs
• Company-paid disability and life insurance
• Full Employee Assistance Program

Interpersonal and behavioral expectations

• Demonstrates curiosity, analytical thinking, and attention to detail when working with data and reporting outputs.
• Communicates clearly with technical and non-technical stakeholders, explains findings, and asks effective follow-up questions.
• Builds positive working relationships through responsiveness, professionalism, and follow-through.
• Applies a continuous improvement mindset to make data processes, reports, and documentation more accurate, repeatable, and efficient.
• Shows learning agility and willingness to develop new technical skills, business knowledge, and supply chain understanding.
• Works effectively in a team environment, accepts feedback, and collaborates with senior team members.
• Maintains ownership of assigned tasks by managing priorities, meeting deadlines, escalating risks when needed, and following established standards.
• Demonstrates integrity and sound judgment when working with business data, confidential information, and data governance requirements.

Total Compensation: Posted salary ranges are made in good faith; Tennant Sales and Service Co. reserves the right to adjust ranges depending on experience/qualifications and internal and external equity. Total Compensation is the base salary plus benefits. This role also includes a competitive benefits package.

Equal Opportunity Employer: Tennant Company is an equal opportunity employer. Employment decisions are made on the basis of individual skill, ability, reliability, productivity, and other factors important to performance, without discrimination on the basis of protected characteristics.