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**Senior Data Engineer** Redirect your career as an **EY - GDS Consulting** Senior Data Engineer, focusing on AI and data within the global financial services sector. Design, build, and optimize enterprise data platforms and analytics workflows. Key responsibilities include: - Developing scalable data pipelines using Azure Data Factory and Databricks. - Building scalable data architectures, leveraging Azure SQL, Azure Data Lake, and modern data modelling. - Ensuring high data quality, and enabling advanced analytics and AI-driven use cases. Proficient in Azure Data Factory, Azure Databricks, Azure SQL and Data Lake, along with a solid understanding of data modelling and building scalable data pipelines. You will problem-solve, manage production-grade data environments, and optimize data quality, scalability, and performance. Nice to have: regulated data environments and AI/ML experience. Drive yoga EY's growth strategy, collaborating across six global locations and delivering exciting projects. Enjoy continuous learning, transformative leadership, and a diverse, inclusive culture. Build a better working world and trust in capital markets. EY
- Compensation
- Not specified
- City
- Bengaluru
- Country
- India
Currency: Not specified
Full Job Description
At EY, youll 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 were 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 Engineer
Role Type Full Time
Experience: 58+ years
The opportunity
We are the only professional services organization who has a separate business dedicated exclusively to the financial services marketplace. Join Digital Engineering 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. Thats 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 Responsibilities
Data 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.
- Ensure secure data handling practices, including sensitive data protection.
- Monitor, troubleshoot, and resolve pipeline failures and performance issues.
Required Skills & Qualifications
- Strong expertise in:
-
- 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.
What we offer
EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations Argentina, China, India, the Philippines, Poland and the UK and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. Well introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.
- Continuous learning: Youll develop the mindset and skills to navigate whatever comes next.
- Success as defined by you: Well provide the tools and flexibility, so you can make a meaningful impact, your way.
- Transformative leadership: Well give you the insights, coaching and confidence to be the leader the world needs.
- Diverse and inclusive culture: Youll be embraced for who you are and empowered to use your voice to help others find theirs
EY | Building a better working world
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.




