Join EY's GDS Data and Analytics team as a seasoned Azure Data Engineer. You'll leverage your expertise in Databricks PySpark to solve complex business challenges for clients across various industries. This role is pivotal in our Metadata Management team, driving innovative data strategies and delivering significant value through data.

EY offers a dynamic environment where you can build a unique career, supported by global scale and inclusive culture. We provide opportunities for personal development, coaching, and the freedom to manage your role effectively, fostering growth into challenging and stimulating assignments within an interdisciplinary setting that prioritizes high quality and knowledge sharing.

Lead the development of prototypes, conduct proofs of concept, and provide recommendations within complex technological environments. Collaborate effectively with both business and technical stakeholders to translate requirements into robust designs and implement them efficiently.

Conduct regular training sessions for business and technology partners, focusing on enterprise data quality standards, guidelines, and processes. You will actively participate in all phases of the data solution delivery lifecycle, including pre-studies, design, development, testing, deployment, and support.

We are seeking an Azure Data Engineer with 3-7 years of experience, including 3-5 years specifically with Databricks PySpark and Azure Synapse. A strong command of SQL and Python (PySpark) is essential for handling metadata extraction and data integration.

Candidates should possess a degree in computer science or a related field, with a proven ability to manage large-scale data warehousing projects. Experience in system integration via ETL or APIs, and designing human task workflows, is highly valued. A flexible, self-motivated approach with excellent communication skills is key. Experience with data modeling or NoSQL is an advantage.