Job description

Kickstart your next career chapter as a Data Engineering Manager within Corporate Treasury, where you’ll shape cutting-edge data solutions in Azure and elevate our analytics platform to drive better insights and smarter decision-making. Collaborate with cross-functional teams, pioneer emerging technologies, and architect data systems that are vital to business success. This role not only challenges you to grow your expertise but also empowers you to make a tangible impact on how data fuels our organization’s future. What You’ll Do for Us: Data Engineering & Architecture: • Design, build, and maintain scalable, reliable, and efficient data pipelines to support real-time and batch processing. • Lead the development and implementation of data integration processes, leveraging cloud technologies and modern data architecture best practices. • Champion the adoption of a unified data platform using technologies such as Azure Synapse, Power Automate, or similar. • Optimize data systems for performance, scalability, and accessibility to meet the needs of diverse stakeholders across multiple business functions. • Oversee the quality, consistency, and governance of data assets to ensure data integrity and compliance with regulatory requirements. Innovation & Continuous Improvement: • Stay abreast of emerging technologies, industry trends, and best practices in data engineering, analytics, and data science. • Drive experimentation and prototyping efforts to identify innovative solutions and enhance existing data systems. • Collaborate with internal and external stakeholders to identify opportunities to optimize processes and improve decision-making through data-driven insights. • Align technology and data initiatives to treasury business strategy. • Uses data and technology to address complex treasury challenges. Collaboration & Communication: • Act as a liaison between technical teams and business stakeholders, ensuring seamless communication and alignment of priorities. • Translate complex technical concepts into clear, actionable insights for non-technical audiences. • Drive collaboration across global teams to implement standardized data engineering practices and solutions. Qualification & Requirements: • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field. • 3+ years of experience in data engineering, data architecture, or a related field. SQL experience is a must. • Proven experience in designing, building, and managing large-scale data infrastructure, preferably using cloud platforms such as Azure or Power Automate. • Hands-on programming experience with Python, R, Java, etc. • Expertise in data modeling, ETL processes, and building real-time and batch processing pipelines. • Strong knowledge of database systems and data warehousing solutions. • Experience working with ERP systems. • Experience with Treasury Management systems preferred. • Familiarity with data governance, security, and compliance standards preferred. What We Can Do for You: • Agile & Innovative Software Platforms: Each day, we work to improve our reporting efficiencies and capabilities using top-tier software platforms including Alteryx, Power BI, Hyperion, and Tableau. • Collaborative Culture: We work cross-functionally, and across all business units, to ensure we get the exposure, resources, and thought-leadership needed to create the most comprehensive financial models / analyses, enabling optimal decision making. • Global Reach: Our team takes a global view of the organization and focuses on generating high impact financial analyses and insights to help The Coca-Cola Company lead the industry. Skills: Computer Programming; Treasury Management Systems; R Programming; Data Analytics; Python (Programming Language); Data Driven; Analytics; Data Infrastructure; Data Governance; Data Engineering

Requirements