As a Senior Data Engineer, you'll play a key role in designing and optimizing data systems using Microsoft Azure. This position is ideal for someone with a strong background in data engineering and a passion for analytics and machine learning.
In this role, you will be responsible for designing, building, and optimizing data pipelines and architectures specifically using Microsoft Azure technologies. Your work will support analytics and machine learning initiatives, enabling the organization to make informed, data-driven decisions. You will collaborate closely with the Data Warehouse and Business Intelligence teams to ensure that data systems are efficient and effective.
Your day-to-day responsibilities will include: • Developing and maintaining data pipelines that are robust and scalable. • Optimizing data architectures to improve performance and reliability. • Supporting analytics efforts by ensuring data is accessible and usable. • Engaging with machine learning lifecycle tools to enhance data processing capabilities.
This position is best suited for experienced data engineers who have a solid understanding of Azure technologies and a keen interest in analytics and machine learning. You should be comfortable working in a fast-paced environment and be able to adapt to changing project requirements. Strong problem-solving skills and attention to detail are essential for success in this role.
You'll be taken to the original listing on PNet to apply.