At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
Job Title: Junior Data Engineering Specialist
Experience Level: 3 – 5 Years
Designation: Supervising Associate
The chance
You will help build and maintain the data infrastructure underpinning the AI and analytics products within EY’s Global Insights function. Our goal is to equip EY professionals with differentiated market, sector, and company insights to strengthen EY’s brand, enhance client relationships, and drive commercial impact.
As part of the Applied AI and Analytics team, you will deliver scalable, trusted data infrastructure supporting a portfolio of automated products, self‑serve tools, and EY proprietary models.
Working under the guidance of senior team members and in collaboration with analysts and business stakeholders, you will build and operate Azure-based data pipelines and databases, contribute to data warehouse and data lake solutions, help define technical requirements, and build and maintain BI and analytics dashboards. Your work ensures insights‑driven products are reliable, scalable, and easy to extend—supporting how EY people access and apply insights across the firm.
Key Responsibilities
Responsible for the development, daily operation, and continuous improvement of data infrastructure for a set of analytics products, including ingestion, transformation, quality, and access.
Co‑develop, test, and maintain Azure Data Factory pipelines to ingest, transform, and orchestrate data from multiple internal and external sources, supporting batch and near‑real‑time processing.
Create relational and non‑relational databases, including Azure SQL Database and/or Azure Synapse SQL, and contribute
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