Data Engineer

Rockwell Automation; Monterrey; Híbrido; MXN 700.000 - 1.100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Calm premium membership

Volunteer time off

Volunteer matching program

Employee Assistance Program

OnTrack wellbeing program

Descripción de la vacante

Rockwell Automation in Monterrey, MX invites a skilled LCS Data Engineer to design, build, and optimize data platforms powering BI, analytics, AI, and reporting across Lifecycle Services. You will shape data architectures, implement ELT/ETL pipelines, and collaborate with IT, BI, and automation teams to ensure scalable, secure data foundations and seamless Power BI integrations.

Hybrid work arrangement applies; extensive responsibilities include data quality, governance, and readiness for AI

Formación

• Bachelor’s or Associate Degree in Information Technology, Computer Science, Business Administration, or related field.
• Experience supporting service, manufacturing, industrial automation, or technology organizations.
• Knowledge of ERP/CRM/service management/financial systems and AI/advanced analytics familiarity.
• Agile delivery methodologies knowledge and product-based delivery experience.

Responsabilidades

• Design, build, and maintain scalable data pipelines integrating ERP, CRM, service, financial, and operational data.
• Develop data models, data warehouses, and semantic layers to support reporting and analytics.
• Develop and maintain ELT/ETL processes for reliable data movement.
• Support cloud-based and enterprise data architectures with scalability and performance focus.
• Partner with IT to align data solutions with standards and roadmaps.
• Provide high-quality datasets for Power BI dashboards and self-service analytics.
• Establish data quality, governance, and compliance processes.

Conocimientos

Data engineering

Data architecture

Enterprise analytics

SQL

ETL/ELT pipelines

Azure data platform

Power BI

APIs

DevOps

Educación

Bachelor’s or Associate Degree in IT/CS/Business Admin

Herramientas

Azure Data Factory

Azure Synapse

Azure Databricks

Microsoft Fabric

Dataverse

Descripción del empleo

Rockwell Automation is a global technology leader focused on helping the world’s manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better. We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that’s you we would love to have you join us!

Position Summary

The LCS Data Engineer is responsible for designing, building, maintaining, and optimizing the data platforms, pipelines, and integration frameworks that power Business Intelligence, analytics, AI, and operational reporting across Lifecycle Services (LCS). Reporting into the LCS Business Intelligence & Data Governance Manager, this role serves as a critical bridge between business stakeholders, BI developers, analysts, IT, and digital teams, ensuring that LCS data is accurate, accessible, secure, scalable, and ready to support data-driven decision making.

Your Responsibilities

• Data Architecture & Engineering Design, develop, and maintain scalable data pipelines that integrate information from ERP, CRM, service management, financial, operational, and other enterprise systems.
• Build and optimize data models, data warehouses, data marts, and semantic layers that support reporting and analytics requirements.
• Develop and maintain ELT/ETL processes to ensure reliable and efficient movement of data across platforms.
• Support cloud-based and enterprise data architectures with a focus on scalability, performance, and maintainability.
• Partner with enterprise IT teams to align LCS data solutions with corporate standards and technology roadmaps.

Business Intelligence Enablement

Provide high-quality, trusted datasets for Power BI dashboards, operational reports, and self-service analytics. Collaborate with BI developers and analysts to understand reporting requirements and translate them into robust data solutions. Improve data availability, refresh performance, and reliability across key business intelligence platforms. Support development of KPI definitions and standardized business metrics.

Data Quality & Governance

Establish and maintain processes to improve data quality, consistency, integrity, and completeness. Partner with business and functional leaders to define data standards, ownership, and governance procedures. Implement monitoring, validation, and automated quality controls to ensure trusted business insights. Support compliance with enterprise data management, privacy, cybersecurity, and governance requirements.

AI & Advanced Analytics Readiness

Develop data structures that support predictive analytics, automation, and AI-enabled solutions. Collaborate with IT, automation, and AI teams to ensure data readiness for emerging technologies. Support creation of reusable, governed data assets that enable future Copilot, AI, and advanced analytics initiatives. Drive continuous improvement of analytics infrastructure and data engineering practices.

Stakeholder Partnership

Act as a technical advisor on data architecture, integration approaches, and analytics enablement opportunities. Translate complex technical concepts into clear business language for non-technical audiences. Contribute to strategic initiatives that increase productivity, operational visibility, and business performance.

The Essentials - You Will Have

Technical Expertise

• Strong experience in data engineering, data architecture, and enterprise analytics environments.
• Advanced knowledge of SQL and relational database design.
• Experience building and maintaining ETL/ELT pipelines.
• Experience with Azure Data Platform technologies such as:
• Azure Data Factory Azure Synapse Azure Databricks Microsoft Fabric Dataverse Azure SQL
• Experience supporting Power BI, tabular models, and semantic data layers.
• Understanding of API integrations, enterprise applications, and data interoperability patterns.
• Familiarity with modern DevOps practices, version control, and automated deployment methods.

Preferred Experience

Bachelor’s or Associate Degree in Information Technology, Computer Science, Business Administration, or a related field (completed or in the final stages of completion), or equivalent professional experience. Experience supporting service, manufacturing, industrial automation, engineering, or technology organizations. Familiarity with ERP, CRM, service management, and financial systems. Experience with AI, advanced analytics, or automation platforms. Knowledge of Agile delivery methodologies and product-based delivery models.

Key Soft Skills

• Strategic Thinking - Understands business priorities and designs scalable data solutions that support long-term organizational goals.
• Collaboration & Influence - Builds strong relationships across business, IT, and leadership teams. Effectively influences decisions without direct authority.
• Problem Solving - Demonstrates strong analytical and troubleshooting skills. Able to identify root causes and implement sustainable solutions.

Success Measures

• Deliver trusted, scalable data assets that support LCS reporting and analytics.
• Improve data quality, consistency, and governance across critical business processes.
• Increase adoption and effectiveness of BI and self-service analytics solutions.
• Enable AI-ready and future-focused data foundations.
• Reduce manual reporting effort through automation and modern data engineering practices.

Modality: Hybrid

• Comprehensive mindfulness programs with a premium membership to Calm.
• Volunteer Paid Time off available after 6 months of employment for eligible employees.
• Company volunteer and donation matching program – Your volunteer hours or personal cash donations to an eligible charity can be matched with a charitable donation.
• Employee Assistance Program.
• Personalized wellbeing programs through our OnTrack program On-demand digital course library for professional development... and other local benefits!
• Rockwell Automation's hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.

We believe that employee diversity is an important element of our common future. We provide opportunities for talent growth with the entire organization. We support equality by celebrating the individuality of every person, regardless of their origin and identity. We appreciate the unique cultural pattern and variety of experiences in each of us. We invite all who want to join and change the world of Our organization.

Other Information

Rockwell Automation, Inc. (NYSE: ROK), is a global leader in industrial automation and digital transformation. We connect the imaginations of people with the potential of technology to expand what is humanly possible, making the world more productive and more sustainable. Headquartered in Milwaukee, Wisconsin, Rockwell Automation employs approximately 28,000 problem solvers dedicated to our customers in more than 100 countries. To learn more about how we are bringing the Connected Enterprise to life across industrial enterprises, visit www.rockwellautomation.com. We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that’s you we would love to have you join us!