Position Summary

Relocation assistance is not provided.

The Data Engineer is responsible for building and maintaining the data infrastructure that powers financial reporting, analytics, and operational decision-making across the Lindsay Family of Brands. This role supports the full lifecycle from data pipeline to finished report — designing reliable integrations, transforming raw data into clean, structured models, and delivering operational dashboards and reports that give leadership and teams across Lindsay Precast, Lindsay Renewables, and Dutchland the visibility they need to run the business.

Key Responsibilities

Design, build, and maintain scalable data pipelines that move and transform data across ERP, operational, and reporting systems
Develop and maintain integrations between key platforms (ERP, Power BI, SharePoint, Microsoft 365, and third-party tools)
Partner with finance and operations stakeholders to understand reporting needs and translate them into durable data solutions
Build and maintain data models and semantic layers that support self-service analytics and Power BI reporting
Design, develop, and maintain operational reports and dashboards that surface key metrics for finance and operations leadership across all divisions
Automate repetitive data workflows using Power Automate, Python, or similar tools to reduce manual effort across the business
Support the evaluation and implementation of new data tools and platforms as the team’s data infrastructure evolves
Collaborate with the Business Systems Analysts to align data architecture with ERP workflows and business processes
Monitor pipeline health and proactively address failures, latency issues, or data anomalies before they impact the business

Success Metrics

Reliability and freshness of data pipelines feeding operational and financial reports
Reduction in manual data handling and spreadsheet-based workarounds across divisions
Data quality and consistency across key reporting areas (financials, production, inventory)
Stakeholder satisfaction with operational reports, dashboards, and self-service reporting capabilities

Qualifications

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field
3–5+ years of experience in data engineering, ETL development, or a closely related role
Strong proficiency in SQL; experience with Python or similar scripting languages for data transformation and automation
Experience working with Microsoft 365 ecosystem tools, including Power Automate, Power BI, and SharePoint
Familiarity with relational databases and data warehouse concepts; experience with cloud data platforms a plus
Strong attention to detail and a practical, solutions-oriented approach to data problems
Ability to communicate technical concepts clearly to non-technical stakeholders across finance, operations, and leadership

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DATA ENGINEER