Senior Data Engineer
Summary
Senior Data Engineer builds and maintains data pipelines and analytics products using Python, SQL, Azure, and visualization tools to deliver insights-led business decisions.
Senior Data Engineer
Managed Talents Solutions' client is looking for a Senior Data Engineer with 5+ years lead analysts to design, build, and implement data and analytics products and solutions for various stakeholders to enable our journey in becoming an insights-led organisation. Will work 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, etc.) 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 are providing products that support decision making through fact based data, insights and recommendations.
- Lead stakeholder engagement with the key functional leaders within the Operating Unit and Coca-Cola System network, demonstrating a deep understanding of their needs and the ways in which data, analytical and tech products and services can be applied to 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 for the Operating Unit as is relevant for 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.