Summary: Join a diverse team as a Data Engineer, responsible for end-to-end data management, ETL/ELT, data governance, and BI & Reporting for the Procurement Execution Center. Highlights: 1. Serve as the main technical resource for data-related requirements 2. Build and design robust, modular, and scalable ETL/ELT pipelines 3. Develop data models for DataViz, Reporting, and Advanced Data Analytics Job Description 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 Fleet, MRO \& Energy, Travel, Professional Services, among others. **How will you 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 / nonfunctional 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). * Other Procurement duties as assigned. **What are we looking for?** * Bachelor’s degree in related field (Engineering, Computer Science, Data Science or similar) * 4\+ 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 (4\+ 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.