Key Responsibilities: Design, develop, and maintain efficient data pipelines and ETL processes. Build and optimize data models to ensure accuracy, accessibility, and performance. Collaborate with software development and product teams to deliver data-driven solutions. Apply best practices in data quality, governance, and security. Leverage Microsoft Azure services to manage and scale data infrastructure. Requirements: 35 years experience in a data engineering role. Strong SQL skills and hands-on experience with relational and NoSQL databases. Proven experience working with Microsoft Azure data services (e.g., Azure Data Factory, Azure Synapse, Azure Databricks, Azure Data Lake). Proficiency in Python or another programming language for data processing. Solid problem-solving skills and the ability to work collaboratively in a fast-paced environment. Whats On Offer: Competitive remuneration and benefits package. A collaborative, innovative environment within Century Citys thriving tech hub. Exposure to exciting projects using Microsoft Azure and other modern data technologies. Opportunities for professional development and career growth. Apply now!