Data Management -Senior Data Engineer

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.

Data Management (Senior Data Engineer)

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.

EY is a global leader in assurance, tax, transaction and advisory services. Technology is at the heart of what we do and deliver at EY. Technology solutions are integrated in the client services we deliver and are key to our innovation as an organization. Fuelled by a US$1.5+B investment in technology and innovation, EY is primed to guide clients in their efforts to drive sustainable growth, create new value, and build new and better ways of working. As part of Enterprise Technology, you’ll be at the forefront of integrating technology into what we do at EY. That means more growth for you, exciting learning opportunities, career choices and the chance to make a real impact.

The opportunity

EY’s global enterprise technology group provides various enabling services (ERP, infrastructure, platforms, service desk) to assist over 300K employees in creating and delivering solutions and services to Fortune 500, privately held and government-like entities.

The Data Scientist will be responsible for leveraging the data lake to drive advanced analytics and predictive modelling initiatives. This role requires a combination of statistical expertise, machine learning knowledge, and the ability to derive insights from large volumes of complex data. The Data Scientist will work closely with business stakeholders to understand their challenges and develop data-driven solutions.

Key Responsibilities

• Design and implement modern data architectures using Azure Data Lake, Azure Synapse, Databricks, and Azure Data Factory.
• Build scalable and efficient ETL/ELT pipelines for structured and unstructured data.
• Lead the development of enterprise data models, data catalogs, and governance frameworks.
• Collaborate with data scientists, analysts, and business stakeholders to ensure data availability and quality.
• Implement CI/CD for data pipelines using Azure DevOps, GitHub Actions, or similar tools.
• Drive best practices in data engineering, data security, and cloud cost optimization.
• Lead and mentor a team of data engineers, providing technical direction and code reviews.
• Monitor, troubleshoot, and optimize data pipelines and jobs in production environments.
  
  

Required Skills & Qualifications:

• 7+ years of experience in data engineering with at least 1+ years in a leadership role.
• Strong expertise in Azure Data Platform: Data Factory, Data Lake Gen2, Synapse, Databricks, and Azure SQL/SQL MI.
• Proficiency in PySpark, SQL, and scripting languages (Python, Scala).
• Experience with Delta Lake, Unity Catalog, and medallion architecture (bronze/silver/gold layers).
• Solid understanding of data warehousing, data modeling, and data quality frameworks.
• Strong DevOps mindset with experience in CI/CD, Terraform, and Git-based development.
• Excellent problem-solving, communication, and team leadership skills.
• Bachelor’s degree in computer science, Information Technology , Data Engineering, or a related field.
  
  

Preferred Qualifications:

• Azure certifications (e.g., DP-203, AZ-305).
• Experience with real-time streaming using Azure Event Hubs, Kafka, or Databricks Structured Streaming.
• Exposure to data governance tools (e.g., Purview, Unity Catalog).
• Master’s degree in computer science, Information Technology
• Familiarity with machine learning pipelines and integration with Azure ML or Databricks ML
  
  

What We Offer

As part of this role, you'll work in a highly integrated, global team with the opportunity and tools to grow, develop and drive your career forward. Here, you can combine global opportunity with flexible working. The EY benefits package goes above and beyond too, focusing on your physical, emotional, financial and social well-being. Your recruiter can talk to you about the benefits available in your country. Here’s a snapshot of 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.