Data Engineer & Technology PM - SG7 - MTY

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: Data Engineer & Technology PM - SG7 - MTY
Primary Location: Nuevo Leon
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 150 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.
Main Responsabilities• Execute Technical Program Management for complex, data-driven initiatives within Automation and Autonomy, supporting the Blue River Technologies Autonomy Program Management Organization from ETEC.• Translate local action plans into clear team and program objectives aligned with broader business and technology strategies, driving cross-functional execution.• Lead technical programs through influence without formal authority, aligning engineering, product, data, and platform teams around roadmaps, milestones, risks, and dependencies.• Contribute strategically to ETEC business objectives through a combination of technical contribution, program ownership, and hands-on execution.• Develop and maintain an Agile execution framework, ensuring alignment between strategy, technical milestones, and day-to-day work across teams.• Apply data analytics, statistics, and AI to identify trends, risks, and improvement opportunities, informing technical decisions and influencing execution practices and roadmaps.• Design, build, and maintain scalable data pipelines, analytics solutions, and performance metrics (KPIs, dashboards) that enable program tracking, visibility, and data-driven decision making.• Collaborate across global and matrixed organizations, supporting one-source-of-truth workspaces through structured documentation, progress tracking, and knowledge sharing.
What Skills You Need• 2.5-3 years of experience in data engineering, analytics, software engineering, or related technical roles within engineering organizations.• 2.5-3 years of experience working in Agile or iterative development environments, actively contributing to sprint/program execution.• Experience leading technical initiatives without formal authority, influencing outcomes through technical credibility and collaboration.• Experience collaborating across global or matrixed organizations.• Strong hands-on experience with SQL and Python (or PySpark) for data transformation, analysis, and pipeline development.• Experience working with large-scale datasets in distributed data processing environments.• Experience developing/consuming dashboards and visualizations using tools such as Power BI, Tableau, or Databricks.• Solid understanding of data quality, governance, and technical documentation best practices.• Ability to gather requirements, manage competing priorities, and translate technical complexity into clear execution plans.• Strong written and verbal communication skills in English, including communicating complex technical and analytical concepts.
What Makes You Stand Out• Exposure to machine learning, applied AI, or advanced analytics, including feature preparation, model support, or performance monitoring.• Hands-on experience or certification in AWS or other cloud technologies.• Familiarity with the full product lifecycle in technical programs, particularly within Automation, Autonomy, Robotics, or complex system domains.• Strategic mindset with the ability to identify process improvements and influence technical execution practices.• Background or formal education in Systems Engineering or related disciplines.• Exposure to Computer Vision or perception systems is a plus (data preparation, evaluation, or pipeline enablement).• Experience developing and maintaining end-to-end data pipelines (batch and/or streaming).• Experience using Databricks or similar cloudbased analytics platforms.
Education
o Data Engineering
o Computer Science or similar.
o Digital Systems, and Robotics Engineering
o Mechatronics Engineering
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.