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Salary
≈ $28k – $75k per year (Estimated)
Location
In office (Monterrey)
Seniority
Middle · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Sep 29, 2026. First seen by Alion on Sep 15, 2026. Johnson Controls scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Johnson Controls International plc is a global technology and industrial leader specializing in smart building equipment, thermal management, and energy efficiency solutions. Legally headquartered in Cork, Ireland - with primary operational headquarters in Milwaukee/Glendale, Wisconsin - the multinational conglomerate operates across more than 150 countries.

What you will do?

Join us in the Procurement Execution Center (PEC) as a Data Engineer as part of a is a diverse team of data and procurement individuals. In this role, you will be responsible for deploying supporting the E2E management of our data, including: ETL/ELT, DW/DL, data staging, data governance, and manage the different layers of data required to ensure a successful BI & Reporting for the PEC. This role will work with multiple types of data, spreading across multiple functional areas of expertise, including Logistics, MRO & Energy, Travel, Professional Services, among others.

How you will do it?

  • Deploy data ingestion processes through Azure Data Factory to load data models as required into Azure Synapse.

  • Build and design ETL/ELT processes with Azure Data Factory (ADF) and/or Python, which once deployed, will require to be executed daily and weekly.

  • Assemble large, complex data sets that meet functional / non-functional business requirements.

  • Build the infrastructure required for optimal ETL/ELT of data from a wide variety of data sources using Azure SQL and ADF.

  • Develop data models that enable DataViz, Reporting and Advanced Data Analytics, striving for optimal performance across all data models.

  • Maintain conceptual, logical, and physical data models along with corresponding metadata.

  • Manages the DevOps pipeline deployment model, including automated testing procedures

  • Deploys data stewardship and data governance across our data warehouse, to cleanse and enhance our data, using knowledge bases and business rules.

  • Performs the necessary data ingestion, cleansing, transformation, and coding of business rules to support annual Procurement bidding activities.

  • Support the deployment of a global data standard for Logistics.

  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

  • Support Rate Repository management as required (including Rate Card uploads to our DW).

  • Other Procurement duties as assigned.

What are we looking for?

  • Bachelor’s degree in related field (Engineering, Computer Science, Data Science or similar)

  • 3+ years of relevant experience in BI Engineering, data modeling, data engineering, software engineering or other relevant roles. Strong SQL knowledge and experience working with relational databases.

  • Knowledge in DW/DL concepts, data marts, data modeling, ETL/ELT, data quality/stewardship, distributed systems and metadata management.

  • Experience building and optimizing data pipelines, architectures, and data sets.

  • Azure Data Engineering certification preferred (DP-203)

  • ETL/ELT development experience (3+ years). SSIS or ADF are preferred.

  • Ability to resolve ETL/ELT problems by proposing and implementing tactical/Strategic solutions.

  • Strong project management and Organizational skills.

  • Experience with object-oriented function scripting languages: Python, Scala, C#, etc.

  • Experience with NoSQL databases is a plus to support the transition from On-Prem to Cloud.

  • Excellent problem solving, critical thinking, and communication skills

  • Relevant experience with Azure DevOps (CI/CD, git/repo management) is a plus

  • Due to the global nature of the role, proficiency in English language is a must

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