Senior Data Engineer Sandton

4 days ago


Sandton, South Africa Datacentrix Full time

Senior Data Engineer Managed Talents Solutions' client is looking for a Senior Data Engineer with 5+ years of experience to design, build, and implement data and analytics products and solutions for various stakeholders, enabling our journey in becoming an insights-led organization. The role involves working with cross-functional teams across product, technology, and subject matter experts to deliver projects and products. Must have requirements: Bachelor’s Degree in a related field or equivalent required 5+ years of developing and managing data products from ingestion to operations. 5+ years of experience supporting data analytics solutions. Experience using Python and working with relational SQL databases. Experience using CI/CD tools. Demonstrated proficiency in using Azure platform for Data and Analytics products. Working knowledge of Agile tools (e.g., JIRA, Azure DevOps) and methodologies (Scrum, Kanban). 5+ years of experience in data storytelling and data visualization using tools like PowerBI, Tableau, or Google Analytics. You will be required to: Manage and lead Data and Analytics analysts delivery, ensuring that they provide products that support decision-making through fact-based data, insights, and recommendations. Lead stakeholder engagement with key functional leaders within the Operating Unit and Coca-Cola System network, demonstrating a deep understanding of their needs and how data, analytical, and tech products and services can create value for their teams and business. Actively manage the assigned data and analytics portfolio, ensuring delivery and adoption of solutions against agreed OKRs. Lead product ownership for products, solutions, and services relevant to the data and analytics portfolio. Adapt data and analytics products and services for use in the operating unit and deploy them to deliver compelling end-user experiences that drive business growth. Contribute to the development of enterprise capability frameworks and products for data and analytics. #J-18808-Ljbffr



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