GDS Consulting_Senior Data Engineer

EY GDS Consulting – Senior Data Engineer (Databricks & Azure) The Opportunity EY GDS is seeking a Senior Data Engineer with strong expertise in Databricks, Azure, Python, and SQL to join our growing Data Engineering team. You will help deliver enterprise-scale data modernization and cloud transformation programs, building modern Lakehouse solutions that enable analytics, AI, and business intelligence for global clients. This role offers the opportunity to work with cutting-edge cloud and data technologies while collaborating with cross-functional teams across Data, AI, Analytics, and Cloud. Key Responsibilities Design, build, and optimize data pipelines using Databricks, PySpark, Python, and SQL. Develop scalable ETL/ELT solutions and Lakehouse architectures. Implement solutions using Delta Lake, Unity Catalog, Databricks Workflows, and Structured Streaming. Develop and support Azure-based data platforms leveraging ADF and ADLS Gen2. Optimize Spark workloads for performance, scalability, and cost efficiency. Implement CI/CD, DataOps, and engineering best practices. Collaborate with business and technical stakeholders to deliver high-quality data solutions. Support data governance, quality, and security initiatives. Mentor junior engineers and contribute to capability development. To Qualify for the Role, You Must Have 5+ years of experience in Data Engineering. Strong hands-on experience with Databricks. Advanced proficiency in Python and SQL. Experience developing scalable data pipelines using PySpark and Databricks. Experience with: Delta Lake Unity Catalog Databricks Workflows Structured Streaming Experience with Azure Data Factory (ADF) and Azure Data Lake Storage Gen2 (ADLS Gen2). Strong understanding of Data Modeling, ETL/ELT, and Data Warehousing concepts. Experience with CI/CD using Azure DevOps, GitHub, or Git. Experience optimizing Spark workloads in large-scale environments. Excellent communication, problem-solving, and stakeholder management skills. Preferred Skills Databricks Certified Data Engineer Associate or Professional. Microsoft Azure Data Engineer Associate (DP-203). Experience with Microsoft Fabric, Snowflake, AWS, or GCP. Familiarity with AI/ML workloads on Databricks. Knowledge of Terraform, DevOps, and DataOps practices. Exposure to Generative AI and modern AI platforms. What We Look For Strong engineering fundamentals and passion for modern data platforms. Ability to solve complex business problems using data. Ownership, accountability, and continuous learning mindset. Effective collaboration across global and cross-functional teams. What We Offer Enterprise-scale Data & AI transformation projects. Exposure to the latest Databricks, Azure, AI, and Analytics technologies. Continuous learning and certification opportunities. A collaborative, inclusive, and high-performing culture. Clear career growth within EY GDS Consulting. Join EY GDS and help shape the future of Data, Analytics, and AI through modern cloud and Lakehouse solutions. About EY As a global leader in Assurance, Tax, Strategy & transactions, and Consulting services, we’re using the finance products, expertise, and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now