Job Overview
The ideal candidate will have a comprehensive end-to-end (E2E) understanding of Azure, specifically in managing backend data transformation and developing Power BI for agile development. This role is responsible for supporting data infrastructure and ensuring high-quality, data-driven insights for prioritised backlog items.
Key Responsibilities
- Collaborate closely with product and development teams to ensure efficient data solutions that support Product Backlog Items (PBIs).
- Develop, maintain, and optimise Azure data pipelines and transformation processes to meet business needs and PBI requirements.
- Utilise Azure data services (e.g., Azure Data Factory, Azure SQL Database, Databricks) to manage scalable data operations and integration.
- Perform data modeling and architecture optimisation to support data reliability and accessibility.
- Participate in agile ceremonies, contributing to the planning and prioritisation of PBIs within the data engineering scope.
- Ensure best practices in data governance, quality, and security in alignment with PBI delivery goals.
Required Skills & Qualifications
- Bachelor's Degree in Computer Science, Information Technology or related fields.
- At least 10 years of experience in data engineering with deep expertise in Azure services.
- Must be proficient in developing Power BI and possess in-depth understanding in Data Transformation.
- Proficiency in Azure Data Factory, Azure SQL Database, Databricks, and other Azure tools for data transformation and integration.
- Strong knowledge of ETL processes, data warehousing, and data architecture.
- Excellent communication and collaboration skills to engage with cross-functional teams and contribute to agile workflows.
