Client Technology - Engineering - Data - Data Engineer

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

EY is a global leader in assurance, tax, transaction and advisory services. Technology is at the heart of what we do and deliver hnology solutions are integrated into the client services we deliver and are key to our innovation as an organization.

Fueled by strategic investment in technology and innovation, Client Technology seeks to drive growth opportunities and solve complex business problems for our clients through building a robust platform for business and powerful product engines that are vital to innovation  part of Client Technology, you’ll work with technologists and business experts, blending EY’s deep industry knowledge and innovative ideas with our platforms, capabilities, and technical expertise.

As a catalyst for change and growth, you’ll be at the forefront of integrating emerging technologies from AI to Data Analytics into every corner of what we do t means more growth for you, exciting learning opportunities, career choices, and the chance to make a real impact.

• Needs to be hands‑on with design and implementation of scalable data pipelines, ETL processes, and data warehousing solutions to align with Azure Well‑Architected Framework (WAF) pillars
• Accountable for a suite of data models with relatively high complexity, leveraging a strong understanding of data modelling standards to ensure high quality
• Drive best practices for data security, data privacy, and data integrity
• Ensure the reliability and efficiency of data infrastructure in the Azure cloud
• Understands AI driven data engineering tools; and work on building cutting edge AI driven use cases and ensure availability of AI ready data
• Works with other departments across the business to help define and deliver business value, as well as interfacing and communicating with program teams, management and stakeholders to deliver large, complex projects

• Leading the production of high‑quality data engineering deliverables, helping to ensure project timelines are met, and providing informal mentoring / training to junior members of the team
• Leading the design, development and implementation of processes to extract, transform and load data from disparate sources into a form that is consumable by analytics processes within a given project, reviewing deliverables to ensure high quality
• Develop and define future state data architectures aligned with industry best practices and organizational needs
• Proficient in defining Data Strategy, developing data architecture for modern data platforms, assessing enterprise existing data architecture and devise recommendations
• Leading translation of requirements, design and solution architecture deliverables into detailed design specifications
• Define and implement data management strategies to align with business objectives
• Leading the delivery of data quality reviews including data cleansing where required to ensure integrity and quality
• Evaluating and resolving issues regarding data quality reviews, cleansing, data integration and migration, leveraging advanced technical knowledge and showing technical leadership in aspects of data engineering while driving continuous improvement efforts
• Providing a leadership role for the work group, ensuring the appropriate expectations, principles, structures, tools and responsibilities are in place to deliver the project
• Analyzing the latest industry trends such as cloud computing and distributed processing and inferring potential impact on businesses (short and long‑term)
• Providing advanced technical expertise to maximize efficiency, reliability and value from current data engineering processes. Researching and monitoring existing client base and industry developments to identify potential new product opportunities from emerging technologies
• Developing strong working relationships with peers across engineering, collaborating to develop leading data engineering solutions
• Driving adherence to the…