There are 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we’re all about at John Deere. And it’s why we’re investing in our people and our technology like never before in our more than 185 - year history. Here the world’s brightest minds are tackling the world’s biggest challenges. If you believe one person can make the world a better place, we’ll put you to work. RIGHT NOW.
Title: Analytics Data Engineer I - Monterrey
Primary Location: Garza Garcia
Function: Data and Analytics (CA)
John Deere is a foremost leader in the ag equipment business, and we continue to put a solid stamp on other industries. For over 185 years, the company’s portfolio of groundbreaking products has grown to include industries related to and outside of agriculture, including Turf, Construction and Forestry and Wind Technologies. The image of John Deere is no longer that of a signature green tractor meandering across a field; it’s been replaced with an image of acceleration, swift progress, and innovative leaping toward the company’s 200th year. The product line alone serves as proof with advances in machine performance, equipment automation, fleet management, and John Deere’s ongoing investment in emerging markets.
Note: All candidates should have their tax situation certificate (Constancia de Siituación Fiscal) up to date with the salary regime to be eligible for the hiring process.
- Design, develop, and maintain interactive Power BI dashboards and reports tailored to business stakeholders.
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Build and optimize semantic models and reporting layers to ensure consistent KPI definitions and data usability.
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Develop advanced SQL queries to extract, join, and manipulate large enterprise datasets.
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Work with enterprise data platforms (e.g., Databricks, Enterprise Data Lake) to process and manage large-scale datasets.
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Translate business questions (quality, warranty, operations, product performance) into scalable data solutions and datasets.
- Power BI development experience, including building, optimizing, and supporting dashboards and semantic/reporting layers for business users.
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Strong SQL skills for querying, joining, validating, and troubleshooting enterprise data sets, views, and tables.
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Experience working with enterprise data platforms such as Databricks / EDL and with notebook-based or pipeline-based data processing.
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Experience translating business questions into usable data products, especially for quality, warranty, product, or operational analytics.
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Ability to work with shared code, version control, and collaborative environments such as GitHub.
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Strong documentation habits and ability to hand off work cleanly so teammates can maintain and extend solutions.
- Python experience for analytics, data preparation, automation, or model support.
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Interest in and some hands-on exposure to machine learning, predictive modeling, or AI-enabled workflows.
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Familiarity with AI-ready data concepts, AI-assisted analytics, or integrating analytics outputs into operational decision-making.
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Comfort working across dashboarding, data engineering, and business stakeholder support rather than being limited to only one layer of the stack.
- Data Science, Mechatronic Engineer, Actuarial.
This position will be posted for a minimum of 10 business days and unposted when a qualified pool of candidates is achieved.
Candidates must have the necessary work permits to work in the country.
