.**Job Details****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 Fleet, 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)- **4 **+ years **of relevant experience in B **I Engineering, data modeling, data engineering, software engineering **or other relevant roles.- Advanced working **SQL **knowledge and experience working with relational databases.- Knowledge in DW/DL concepts, data marts, d ata modeling, **ETL/ELT **, d ata 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