Tech S and T Cloud Dev-Data Product Engineer-NGTO-Senior-GDSF02

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.

Technical Data Product Engineer

Experience:37 Years

If youre excited about building data systems that dont just move databut power products and decisionsthis role is for you.

About the Role

We are building the next generation of data platforms and data products that power intelligent decision-making customer experiences and AI-driven innovation at scale.

As a Technical Product Data Engineer you will operate at the intersection of data engineering platform architecture and product thinking. You will own the design and delivery of scalable reliable and high-impact data systemstransforming raw data into trusted accessible and actionable data products.

This is a high-ownership role for engineers who want to go beyond pipelines and shape how data is produced consumed and leveraged across the organization.

What Youll Do

• Build Data Products Not Just Pipelines
• Design and develop end-to-end data products that serve analytics operational and AI use cases
• Define data SLAs quality benchmarks and usability standards

Engineer at Scale

• Build and optimize high-performance data pipelines (batch & real-time)
• Architect cloud-native data platforms for scalability reliability and cost efficiency

Drive Data Excellence

• Ensure data quality lineage governance and discoverability
• Implement robust monitoring alerting and anomaly detection systems

Partner with Stakeholders

• Collaborate with product analytics and business teams to translate requirements into data solutions
• Enable self-service data access through well-modeled datasets and APIs

Influence the Future Architecture

• Contribute to modern data architecture strategy (lakehouse event-driven systems)
• Continuously improve systems for performance reliability and developer experience

What You Bring

Must-Have Skills

• Strong programming in Python and SQL
• Hands-on experience with distributed data processing (Spark or equivalent)
• Experience building pipelines using Airflow (or similar orchestration tools)
• Solid understanding of data modeling warehousing and data lakes/lakehouse architectures
• Experience with cloud platforms (AWS / Azure / GCP)
• Strong foundation in data quality observability and reliability engineering

Good-to-Have

• Real-time streaming experience (Kafka Kinesis etc.)
• Experience with Snowflake Databricks or modern data platforms
• Building or consuming REST APIs for data services
• Exposure to ML/AI pipelines or feature engineering workflows
• Familiarity with DevOps practices (CI/CD Git Jenkins Azure DevOps)
• Basic frontend exposure (React/Angular) for data tooling

Qualifications

• Bachelors or Masters in Computer Science Data Engineering or related field
• 3 years of experience in data engineering or data platform development

Additional

• Certifications in cloud or data engineering
• Experience with data governance security and compliance standards

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.