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.

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.

Embark on a transformative journey where your expertise becomes the cornerstone of innovation in the realm of artificial intelligence. As an Information Systems Engineer within our Genesis – AI Enabled Delivery CoE, you are not just shaping the future of our Tax practice but changing the way we leverage AI to deliver unparalleled insights and value.

The opportunity
As an Information Systems Engineer within our Genesis – AI Enabled Delivery CoE, you will play a crucial role in pioneering sophisticated AI solutions that not only enhance our Tax practice but also contribute significantly to our purpose of Building a better working world. Your work will enable us to harness the vast potential of data, providing actionable insights and fostering innovation that supports sustainable growth and equitable progress for our clients and communities alike. This role a chance to leave a lasting imprint on the world by advancing ethical AI applications that promote trust and confidence in the digital age.

Your key responsibilities

• Maintain and Enhance Data Pipeline Architecture: Ensure the integrity and seamless operation of data pipelines, adapting and scaling to meet evolving data demands.
• Aggregate and Manage Complex Data Sets: Collect, clean, and compile large and diverse data sets to support analytical and operational requirements.
• Streamline Processes through Automation and Optimization: Continuously improve data processes by implementing automation and optimization techniques for enhanced efficiency and scalability.
• Construct Robust Infrastructure for Data Handling: Build and maintain a secure and reliable infrastructure that supports the entire data lifecycle from ingestion to analytics.
• Develop Advanced Analytics Tools for Insights: Create sophisticated tools that analyze data, providing valuable insights to drive informed business decisions.
• Foster Collaboration with Stakeholders: Work closely with stakeholders to ensure data strategies and solutions are closely aligned with business needs and objectives.
• Safeguard Data Security: Implement and maintain stringent data security measures to protect sensitive information and ensure compliance with regulatory standards.
• Innovate with Data Tools for Analytics: Design and develop innovative data tools that enhance the analytics capabilities of the organization, enabling a data-driven culture.

Skills and attributes for success
In this pivotal role, your proficiency as an Information Systems Engineer will be instrumental in architecting and refining the technological frameworks that underpin our advanced AI solutions. Your technical expertise, strategic foresight, and cooperative approach will be the keystones in advancing our organization's data-driven ambitions to the pinnacle of industry standards.

To qualify for the role you must have:

• Azure Cloud Mastery: Lead and mentor a team in constructing resilient and scalable data pipelines, leveraging the full suite of services offered by Azure's cloud platform to meet complex data processing needs.
• Solution Architecture Expertise: Design and deploy comprehensive data solutions on Azure, ensuring they are robust, secure, and capable of handling the demands of large-scale data storage and processing tasks.
• Data Integration Proficiency: Seamlessly integrate a variety of data sources, employing Azure's advanced integration tools to create a unified and efficient data ecosystem.
• Model Design Excellence: Develop detailed and adaptable data models that accurately reflect business requirements and scale effectively with the organization's growth.
• Purview Proficiency: Integrate and utilize Azure Purview to provide a clear view of data lineage, governance, and management, enhancing the organization's ability to migrate and handle data assets.
• Security Implementation Savvy: Implement and oversee stringent security protocols within Azure, ensuring data integrity and compliance with the latest industry and regulatory standards.
• Performance Monitoring Skills: Continuously monitor and optimize Azure data pipelines, identifying and addressing performance bottlenecks to maintain system efficiency and reliability.

Ideally, you will also have:

• Quality Standards Leadership: Establish and enforce rigorous data quality standards and governance within Azure, ensuring that data remains accurate, consistent, and reliable across all platforms.
• Stakeholder Collaboration Ability: Work closely with stakeholders to understand and translate their data requirements into effective Azure-based solutions, fostering strong relationships and ensuring alignment with business goals.
• Documentation Excellence: Maintain precise and comprehensive technical documentation for Azure projects, facilitating clear communication and knowledge transfer among team members and stakeholders.
• Lean Implementation Approach: Apply Lean principles to Azure application development and operations, streamlining processes to eliminate waste and maximize value delivery.
• Version Control Systems Proficiency: Expertly use version control systems like Git to manage codebases, collaborate with peers, and maintain a high standard of code integrity in AI development projects.
• Cloud Platforms: Familiarity with cloud platforms like AWS, Azure, or GCP for scalable AI solutions. (Azure preferred)
• Troubleshooting and Debugging: Ability to troubleshoot and debug complex AI systems and models.
• Software Engineering Practices: Familiarity with software engineering practices, including testing, documentation, and code review.

What we look for:

• We seek analytical minds that can deconstruct and navigate complex challenges, applying AI-driven methodologies to forge impactful solutions.
• Strong communication skills are essential, as you'll be expected to convey complex AI and data concepts to a varied audience with clarity and confidence.
• Ideal candidates are team players who flourish in collaborative settings yet possess the initiative and drive to independently steer projects to fruition.
• Professionals who are dedicated to lifelong learning, readily adapting to new technologies and proactively staying ahead of the curve in AI developments.
• Above all, we prioritize individuals who uphold the highest ethical standards, recognizing the significance of trust and integrity in every facet of their work within the realm of Information Systems Engineering.
• Above all, we look for those who are committed to ethical standards and understand the importance of building trust and integrity in every aspect of their work.

What we offer

• 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.