At WIN Waste Innovations, we are advancing our data architecture stack. As a Senior Data Engineer, you will join a dynamic team tasked with integrating additional sources into our Data Warehouse, extend our Master Data Management offerings and support our Report Developers, Data Analysts and other individuals requiring curated data for analytics across the enterprise. Additionally, you will manage and optimize Azure data pipelines. The ideal candidate is passionate about harnessing the power of data to provide actionable insights, building robust, maintainable processes and act as a trusted advisor to IT teammates as well as our business partners. What You'll Do... Trace and document data consumption patterns Contribute to the design, implementation and maintenance to resolve data related technical issues Act as the trusted advisor to Report Developers and other consumers recommending data solutions Support and maintain existing integrations and data transformations Develop and maintain data ingestion and integration (ADF) processes with a focus on data quality and monitoring Manage code versions in source control (Azure DevOps/ Github) Participate in troubleshooting and problem-solving design discussions Support stakeholders to translate requirements into data solutions Work with stakeholders including report developers, business stakeholders, data analysts, and business users to design and build robust data processes Ability to lead technical projects, communicating with users, stakeholders and leadership Partner with enterprise teams, data analysts and architects to support the development of standards and solutions Incorporate standards and best practices Drive technical projects to completion from inception to production implementation Who You Are... Bachelor's Degree in Computer Science, Mathematics or other technical area 5 7 years of experience developing data integrations with a strong understanding of data warehousing concepts Advanced working knowledge of relational database Advanced SQL skills Experience in MS Fabric or Data Bricks Experience in Agile methodologies defining User Stories, Features and Epics Experience mentoring cross-training and building consensus with report developers and other engineers Hands-on experience with: Microsoft/Azure Stack - SSIS, SQL, Azure Data Factory, ADO, GitHub, Strong computer science fundamentals: SDLC methodologies, CICD, programming languages, data structures Working knowledge of Data Governance principles and master/reference data management Experience interfacing with star schemas and data warehouse implementations Research shows women and underrepresented groups often only apply if they meet 100% of job requirements. We actively encourage ALL interested candidates to apply, regardless of how perfectly you match our listed qualifications.