GDS Consulting_Senior Data Engineer

EY; Cebu City; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

EY GDS seeks a Senior Data Engineer with Databricks, Azure, Python, and SQL expertise to drive data modernization and cloud transformation programs. You will design scalable data pipelines, Lakehouse architectures, and Azure-based data platforms while collaborating across Data, AI, Analytics, and Cloud teams.

You will mentor junior engineers, optimize Spark workloads, and contribute to DataOps practices, ensuring governance, quality, and security across global clients.

Qualifications

• 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 Unity Catalog, Databricks Workflows, and Structured Streaming.
• Experience with Azure Data Factory (ADF) and 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.

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.

Skills

Databricks

Python

SQL

PySpark

Azure

Data Modeling

CI/CD

DataOps

Stakeholder management

Communication

Tools

Delta Lake

Unity Catalog

Databricks Workflows

ADF

ADLS Gen2

Job description

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:
• 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.
• 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

• 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.

EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.