Procurement Data Engineer III

Jci Open

San Pedro Garza Garcia-Nuevo Leon-Mexico Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Jci. San Pedro Garza Garcia-Nuevo Leon-Mexico · full-time.

Pay not stated Data Engineer salary

RoleData Engineering

SeniorityMid-level

LocationSan Pedro Garza Garcia-Nuevo Leon-Mexico

EmploymentFull-time

PostedOct 14, 2026

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Build Azure Data Factory pipelines that move source data into Azure Synapse models
Shape complex datasets and data models for reporting, visualization and advanced analytics
Maintain data models and metadata, while applying stewardship rules to improve warehouse data quality
Prepare, cleanse and transform procurement data for annual bidding and maintain rate-card uploads
Guide junior engineers through design choices, standards and code reviews

What you bring

A related bachelor's degree and at least five years in data or BI engineering, modeling or software roles
Strong SQL skills and experience with relational databases
At least five years developing ETL/ELT, with Azure Data Factory, dbt and Snowflake noted as preferred
Proficiency in English for work across global teams

Who this fits

This role suits an experienced data engineer who can handle both pipeline development and technical guidance for junior colleagues. The position is based in San Pedro Garza García, Nuevo León, Mexico, and requires English proficiency.

From the employer

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 managing 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 Fleet, MRO & Energy, Travel, Professional Services, among others.

How you will do it?

Serve as the main technical resource for any data-related requirement
Demonstrate an ability to communicate technical knowledge through project management and contributions to product strategy
Deploy data ingestion processes through Azure Data Factory to load data models as required into Azure Synapse.
Build and design robust, modular and scalable ETL/ELT pipelines with Azure Data Factory, Python and/or dbt.
Assemble large, complex, robust and modular 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 Data Lakehouse technologies 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.
Ensure compliance with system architecture, methods, standards, practices and participate in their creation
Clearly articulate and effectively influence both business and technical teams
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.
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).
Mentor junior data engineers and promote engineering best practices.
Lead technical initiatives and provide guidance on solution design, development standards, and code reviews.
Drive continuous improvement of the data engineering ecosystem.
Design and maintain scalable cloud-native data architectures that support growing business demands and enterprise data strategies.
Participate in data platform architecture decisions, including storage optimization, compute strategies, security, and performance tuning.
Other Procurement duties as assigned.

What are we looking for?

Bachelor’s degree in related field (Engineering, Computer Science, Data Science or similar)
5+ years of relevant professional 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 (5+ years), ADF, dbt and snowflake 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, R, 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