Data Engineer

About the role

EY is looking for a Data Engineer to design, build and maintain scalable data pipelines that deliver reliable data for analytics, AI and reporting. The role works closely with data and analytics teams, program managers and business stakeholders to translate requirements into robust technical solutions.

Key responsibilities

• Develop end‑to‑end data engineering solutions using Databricks, Snowflake, Spark, Azure Data Factory, dbt and related cloud services.
• Convert business and analytics needs into clear technical specifications, data flow diagrams and pipeline designs.
• Build and sustain data models that support reporting, analytics and downstream consumption.
• Document data flows, pipeline architecture and maintain knowledge‑sharing artifacts.
• Coordinate junior team members as needed to ensure project focus and delivery.

Required profile

• Proven experience designing and implementing data pipelines on modern cloud platforms.
• Hands‑on expertise with large, complex data sets and transformation processes.
• Understanding of data modelling principles for analytics, AI and reporting use cases.
• Familiarity with modern development practices such as version control, code reviews, testing and automated deployment.

Required skills

• Databricks
• Snowflake
• Apache Spark
• Azure Data Factory
• dbt
• SQL
• PySpark
• Azure
• AWS
• Airflow (or similar orchestration tool)