As a Senior Data Engineer, you'll lead the development of advanced data solutions for a major banking client. This role is ideal for someone with a strong background in machine learning and cloud technologies.
In this role, you will be responsible for the evolution of a large-scale, cloud-native data platform for a banking client. Your work will involve designing and implementing data pipelines that support machine learning and predictive analytics, ensuring that the data architecture is robust and scalable.
You will collaborate closely with data scientists and other stakeholders to understand their data needs and translate them into technical requirements. This position requires a deep understanding of machine learning concepts and the ability to apply them effectively within a data engineering context.
Key responsibilities include: • Developing and maintaining data pipelines that facilitate machine learning processes • Ensuring data quality and integrity across the platform • Collaborating with cross-functional teams to optimize data usage
The ideal candidate will have a strong background in data engineering, with experience in cloud technologies and a passion for working with data. If you thrive in a fast-paced environment and enjoy tackling complex data challenges, this role is a great fit for you.
You'll be taken to the original listing on PNet to apply.