The Global Data Engineer role at Tennant Company supports the Global Data Science & Business Intelligence Team by enabling reliable data pipelines, models, and reporting datasets for Global Supply Chain and the North America Business Unit (NABU). You will work closely with cross-functional partners to translate reporting needs into data logic, improve data quality, and deliver analytics-ready datasets that support operational decisions.
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, cost analytics, and operational decision-making.
- Develop and maintain Power BI, Microsoft Fabric, Databricks, SQL, and other analytics assets in alignment with team standards and business requirements.
- Run data quality checks, reconcile outputs to source systems, and help troubleshoot issues involving 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 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 stakeholders to understand reporting needs, explain data outputs, and help ensure insights are actionable 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, business intelligence, Microsoft Fabric, SAP S/4HANA, Databricks, and related tools to strengthen long-term analytics capabilities.
Key requirements
- Bachelor’s degree in Computer Science or Data Analytics/Science required (Master’s preferred). An associated technology-related minor such as Data Analytics, Statistics, Information Systems, Management Information Systems, Business Analytics, or a related field is required.
- 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 including 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 to support reporting and business decision-making.
- Basic understanding of data pipelines, semantic models, reporting datasets, and data quality controls preferred.
- Exposure to ERP, supply chain, procurement, manufacturing, logistics, or SAP S/4HANA data preferred.
- Ability to translate business questions into data requirements, analytical logic, and clear reporting outputs with guidance from senior team members.
- Certifications or continuing education in Power BI, Microsoft Fabric, Databricks, SQL, Python, data analytics, data engineering, or related technologies preferred.
Technologies
- Power BI
- Microsoft Fabric
- Databricks
- SQL
- Power Platform
- Excel
- Python
- R
- SAP S/4HANA
Skills and working style
- Demonstrates curiosity, analytical thinking, and attention to detail when working with data, business requirements, and reporting outputs.
- Communicates clearly with technical and non-technical stakeholders to understand needs, explain findings, and ask effective follow-up questions.
- Builds positive working relationships through responsiveness, professionalism, and follow-through with Global Supply Chain, NABU, and cross-functional partners.
- 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 to solve data and reporting challenges.
- 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.
Compensation and benefits
- Base pay range: $72,800 - $109,500 per year
- Multiple medical plan options
- 401(k) with 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
Note on salary ranges: Posted salary ranges are provided in good faith, and Tennant Sales and Service Co. reserves the right to adjust ranges depending on experience/qualifications and internal and external equity. Total compensation is base salary plus benefits.
Location and schedule
- Location: Eden Prairie, MN (onsite)
- United States: Minneapolis, MN
- Schedule: Monday to Friday
Equal opportunity
Tennant Company is an equal opportunity employer. Employment decisions are based on individual skill, ability, reliability, productivity, and other factors important to performance. The company does not discriminate based on race, color, creed, religion, sex, national origin, physical or mental disability, age, veteran status, pregnancy, sexual orientation, genetic information, gender identity, or any other basis protected by state or federal law or local ordinance.
