Data Engineer

Rockwell Automation

. Design, develop, and maintain scalable data pipelines integrating ERP, CRM, service management, financial, operational, and enterprise systems .

Posted 9/17/2026full-timeMonterrey • MexicoMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering, architecture, and analytics, with a strong focus on building and optimizing ETL/ELT pipelines and data models. Proficient in utilizing Azure technologies and Power BI for data integration and reporting solutions.

Highest-signal resume keywords

Data EngineeringETL/ELT Pipeline DevelopmentAzure Data FactoryPower BI SupportSQL and Relational Database Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureData ModelingData WarehousingData GovernancePredictive AnalyticsAPI IntegrationsAutomated Quality ControlsData InteroperabilityAgile MethodologiesAdvanced Analytics

Soft Skills

Analytical SkillsTroubleshooting SkillsCommunication Skills

Tools & Technologies

Azure SynapseAzure DatabricksMicrosoft FabricDataversePower BI

Industry Keywords

ERP SystemsCRM SystemsService ManagementFinancial SystemsIndustrial Automation

Tech Stack

Tools & technologies

AzureCloudCyber SecurityERPETLSQL

About the role

Key responsibilities & impact

Design, develop, and maintain scalable data pipelines integrating ERP, CRM, service management, financial, operational, and enterprise systems
Build and optimize data models, data warehouses, data marts, and semantic layers
Develop and maintain ELT/ETL processes for reliable data movement across platforms
Support cloud-based and enterprise data architectures focused on scalability, performance, and maintainability
Align LCS data solutions with corporate standards and technology roadmaps in partnership with enterprise IT
Provide trusted datasets for Power BI dashboards, operational reports, and self-service analytics
Collaborate with BI developers and analysts to translate reporting requirements into data solutions
Improve data availability, refresh performance, and reliability across business intelligence platforms
Support KPI definitions and standardized business metrics
Establish data quality, consistency, integrity, completeness, standards, ownership, and governance processes
Implement monitoring, validation, and automated quality controls
Support data management, privacy, cybersecurity, and governance compliance
Develop data structures for predictive analytics, automation, and AI-enabled solutions
Collaborate with IT, automation, and AI teams on data readiness
Create reusable, governed data assets for Copilot, AI, and advanced analytics initiatives
Drive continuous improvement of analytics infrastructure and data engineering practices
Advise stakeholders on data architecture, integration approaches, and analytics enablement
Translate technical concepts into clear business language
Contribute to initiatives that improve productivity, operational visibility, and business performance

Requirements

What you’ll need

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 Factory, Azure Synapse, Azure Databricks, Microsoft Fabric, Dataverse, and 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
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
Strong analytical and troubleshooting skills
Ability to translate complex technical concepts into clear business language for non-technical audiences

Benefits

Comp & perks

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
Employee Assistance Program
Personalized wellbeing programs through the OnTrack program
On-demand digital course library for professional development
Other local benefits