Senior Data Engineer

Ernst & Young LLP ( EY India ); Bengaluru; On-site; INR 1,400,000 - 2,300,000; Full time

Benefits offered by this job

Global exposure

Continuous learning

Job summary

EY Global Delivery Services (GDS) seeks a Senior Data Engineer to design, build, and optimize enterprise data platforms and analytics workflows. You will develop scalable data pipelines, ensure data quality, and enable AI-driven use cases across the organization.

You will work with Azure Data Factory, Azure Databricks, and Azure SQL/Data Lake to deliver production-grade data solutions, supporting BI reporting and advanced analytics in a global environment.

Qualifications

• Strong expertise in Azure data engineering technologies and data pipelines.
• Solid understanding of data modelling using star and snowflake schemas.
• Experience building scalable and reliable data pipelines.

Responsibilities

• Design and build production-grade data pipelines using Azure Data Factory and Azure Databricks.
• Develop scalable data architectures leveraging Azure SQL and Data Lake.
• Implement data quality validation, reconciliation, and monitoring of pipelines.
• Deliver analytics-ready datasets for BI tools and enable AI/ML use cases.

Skills

Azure Data Factory

Azure Databricks

Azure SQL

Data Lake

Data modelling (star & snowflake)

Job description

EY - GDS Consulting - AI And DATA - Data Engineer - Senior

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 Engineer Role Type Full Time Experience: 5–8+ years

The 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 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. We’ll introduce you to an ever‑expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

Continuous learning : You’ll develop the mindset and skills to navigate whatever comes next.

Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.

Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.

Diverse and inclusive culture: You’ll 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.