Senior Procurement Data Engineer: Azure & ETL Specialist

Johnson Controls; México; On-site; MXN 650,000 - 950,000; Full time

Job summary

Johnson Controls is seeking a Data Engineer to support end-to-end data management, including ETL/ELT, data modeling, governance, and BI reporting for the Procurement Execution Center (PEC). The role involves building scalable data pipelines, managing data across multiple domains, and collaborating with cross-functional teams to enable analytics and decision making.

You will work with Azure Data Factory, Azure Synapse, and modern data tools to ingest, transform, and govern data, while mentoring

Qualifications

• 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.
• 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.

Responsibilities

• Serve as the main technical resource for data-related requirements.
• Deploy data ingestion processes through Azure Data Factory to load data models into Azure Synapse.
• Build and design robust, modular and scalable ETL/ELT pipelines with Azure Data Factory, Python and/or dbt.
• Mentor junior data engineers and promote engineering best practices.

Skills

SQL

Education

Bachelor's degree

Tools

Azure Data Factory

dbt

Python

Azure Synapse

Snowflake

Azure DevOps

Job description

Johnson Controls is seeking a Data Engineer to support end-to-end data management, including ETL/ELT, data modeling, governance, and BI reporting for the Procurement Execution Center (PEC). The role involves building scalable data pipelines, managing data across multiple domains, and collaborating with cross-functional teams to enable analytics and decision making.

You will work with Azure Data Factory, Azure Synapse, and modern data tools to ingest, transform, and govern data, while mentoring