**What you will do?**
Join us in the Procurement Execution Center (PEC) as a Data Eng & Automation Mgr as part of a is a diverse team of data and procurement individuals. In this role, you will be responsible for leading and manage a team of Data Engineers and ensure that the ETL/ELT, DW/DL, data staging, data governance and any other activities accomplish the business requirements as well as 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?**
- Lead and manage a team of Data Engineers of different experience levels
- Responsible for delivering a detailed roadmap on data integration and automation based on business goals.
- Demonstrate an ability to communicate technical knowledge through project management and contributions to product strategy
- Be able to implement/build methodologies as well as (understand how to) scale them together with the businesses
- Manage the entire lifecycle of the data engineering team projects
- Leads the data ingestion, cleansing, transformation, and coding of business rules to support annual Procurement bidding activities.
- Maintain conceptual, logical, and physical data models along with corresponding metadata.
- Deploys data stewardship and data governance across our data warehouse, to cleanse and enhance our data, using knowledge bases and business rules.
- Ensure compliance to system architecture, methods, standards, practices and participate in their creation




- Clearly articulate and effectively influence both business and technical resources
- Create data tools for analytics that assist them in building and optimizing our product into an innovative industry leader.
- Support the deployment of a data standards for different Procurement categories.
- Other Procurement duties as assigned.
**What are we looking for?**
- Bachelor’s degree in related field (Engineering, Computer Science, Data Science or similar)
- 7+ years of relevant experience in data roles, such as: data modeling, data engineering, ETL development, DBA, software engineering or other relevant roles.
- Excellent problem solving, critical thinking, and communication skills
- Knowledge of Data Modelling concepts, monitoring, designs and techniques.
- Knowledge of Data Warehouse project lifecycle, tools, technologies, and best practices
- Knowledge of object-oriented function scripting languages: Python, Scala, C#, etc.
- Technical knowledge of new data feeds development process
- Knowledge of advanced working 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.
- Knowledge on building and optimizing data pipelines, architectures, and data sets.
- ETL/ELT development and lead experience, Azure Data Factory preferred.
- Strong project management and organizational skills.
- Experience with NoSQL databases is a plus to support the transition from On-Prem to Cloud.
- Experience with Snowflake is a plus.
- Experience with DBT Labs is a plus.
- Relevant experience with Azure DevOps (CI/CD, git/repo management)
- Due to the integral nature of the role, proficiency in English language is a must

📌 Data Engineering Manager (San Pedro Garza García)
🏢 Johnson Controls
📍 San Pedro Garza García