Join a dynamic team as a Data Engineer where you'll design and maintain data pipelines that drive analytics and business intelligence. This role is perfect for those who thrive in a collaborative environment and are passionate about delivering high-quality data solutions.
As a Data Engineer, you will be instrumental in designing, building, and maintaining scalable data pipelines that support the organization's analytics and business intelligence needs. Your day-to-day responsibilities will include developing ETL/ELT processes and ensuring the reliability and performance of data across various platforms. You will work closely with other teams to deliver trusted data solutions that enhance decision-making and drive insights.
In this role, you will: • Design, develop, and maintain scalable ETL/ELT data pipelines. • Build and optimize enterprise data integrations and platform components. • Ensure data quality, reliability, and performance across data pipelines. • Develop solutions that support analytics, AI, and reporting workloads. • Continuously improve the enterprise data platform.
This position is ideal for someone with at least 5 years of experience in data engineering, particularly those familiar with Azure Data Factory. You should be comfortable working in a hybrid environment and have a strong understanding of data processing and integration techniques. If you are passionate about delivering high-quality data solutions and enjoy collaborating with others, this role could be a great fit for you.
You'll be taken to the original listing on PNet to apply.