As a Group Data Platform Engineer, you'll be at the forefront of building and optimizing data platforms that support analytics and AI. This role is ideal for someone who enjoys hands-on work and is passionate about data management and security.
In this role as a Group Data Platform Engineer, you will design and build modern data platforms that are essential for analytics, reporting, and AI initiatives within a global organization. Your primary responsibility will be to develop scalable ETL/ELT pipelines and manage lakehouse architectures, ensuring that data is secure, governed, and trusted.
You will work with technologies like Databricks, Spark, Delta Lake, and Azure Data Factory to build and maintain data pipelines. Additionally, you will be involved in designing and optimizing data warehouses and reporting datasets, which are crucial for effective data analysis and decision-making.
This position is suited for individuals who have a strong background in data engineering and are comfortable with hands-on technical work. A degree in Computer Science, Data Engineering, IT, or a related field is required, along with significant experience in the relevant technologies. Your expertise in ETL/ELT development and data platform operations will be key to your success in this role.
Overall, this is an exciting opportunity to shape the future of data and analytics in a dynamic environment, where you can make a significant impact on the organization’s data strategy.
You'll be taken to the original listing on PNet to apply.