EY - GDS Consulting - AI And DATA - Data Engineer - Senior
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Full time
- Experience
- 8+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Azure Data Factory Azure Databricks Azure SQL and Data Lake Solid understanding of data modelling (star and snowflake schemas). Experience building scalable and reliable data pipelines.
- Core Competencies Strong problem-solving and analytical skills. Ability to manage production-grade data environments. Focus on data quality, scalability, and performance optimization.
- Nice to Have Experience working in regulated data environments. Exposure to Azure OpenAI or AI/ML use cases. Knowledge of prompt engineering, evaluation frameworks, and experimentation techniques.
Full description
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.
Career Family AI&D : Senior Data EngineerRole Type Full TimeExperience: 5–8+ yearsThe opportunity
Join the AI&D Team and you will work with multi-disciplinary teams from around the world to deliver a global perspective. Aligned to key industry groups including Asset management, Banking and Capital Markets, Insurance and Private Equity, Health, Government, Power and Utilities, we provide integrated advisory, assurance, tax, and transaction services. Through diverse experiences, world-class learning and individually tailored coaching you will experience ongoing professional development. That’s how we develop outstanding leaders who team to deliver on our promises to all our stakeholders, and in so doing, play a critical role in building a better working world for our people, for our clients and for our communities. Sound interesting? Well, this is just the beginning. Because whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.
We are seeking experienced Senior Data Engineers to design, build, and optimize enterprise data platforms and analytics workflows. This role focuses on developing scalable data pipelines, ensuring high data quality, and enabling advanced analytics and AI-driven use cases across the organization. You will play a key role in delivering reliable, production-grade data solutions while supporting business intelligence and next-generation data initiatives.
Key ResponsibilitiesData Engineering
- Design and build production-grade data pipelines using Azure Data Factory and Azure Databricks.
- Develop scalable data architectures leveraging Azure SQL, Data Lake, and modern data modelling techniques (star/snowflake schemas).
- Implement data quality validation, reconciliation processes, and resolve operational issues.
Analytics & AI Enablement
- Use Python for data processing, transformation, and analytics.
- Develop and maintain Jupyter Notebooks for exploration and experimentation.
- Utilize MLflow for experiment tracking and model lifecycle management.
BI Enablement
- Deliver curated, analytics-ready datasets for Power BI and other reporting platforms.
- Optimize data models and structures for efficient reporting, dashboarding, and analytics consumption.
Engineering Practices
- Implement CI/CD pipelines for data engineering workflows.