Digital-Staff

Digital-Staff

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. 

 

 

 

 

GDS Assurance Digital - Staff Software Engineer
Job Title: Data Engineer (Databricks)
Role Level  
Staff    1 - 3 years    

At EY
At EY, we are all in to shape your future with confidence.
We will 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.

About Global Delivery Services
Global Delivery Services refers to EY's worldwide network of service delivery centers. The GDS team plays an important role in EY's strategy by ensuring effective support to EY's growth agenda.
Our journey started in 2002 with approximately 200 people. Today we stand at 80,000+ professionals in ten locations around the world. We operate in Argentina, China, Hungary, India, Philippines, Poland, Sri Lanka, Mexico, Spain and the United Kingdom.
Client service is focused on providing Consulting, Assurance, Tax, Strategy & Transactions, and Knowledge support to our clients around the world. The teams enable account teams worldwide to provide seamless, high-quality, value-added support, helping deliver exceptional client service.
Our innovation specialists serve the GDS Client Service and Enablement Services teams, along with Service Lines, Core Business Services and Sectors. The team brings the desired environment, technologies and skilled teams together for facilitation, rapid prototyping and innovative thinking. The competencies offered include analytics, digital, user experience, mobile technology, infrastructure, Microsoft technologies and open innovation.

Role Overview
We are looking for a motivated and hands-on Staff Data Engineer with working knowledge of Databricks and modern data engineering practices. The candidate will support the development, testing, maintenance, and optimization of data pipelines, help implement data quality checks, assist in data modelling activities, and follow data governance standards. The role will work under the guidance of senior team members and collaborate with business analysts, data architects, data scientists, and analytics teams to deliver reliable data solutions on Azure.

Key Responsibilities
•    Develop, test, and maintain ETL/ELT pipelines using Databricks, PySpark, SQL, and Azure services under guidance from senior team members.
•    Support data ingestion, transformation, and processing for structured and semi-structured data.
•    Implement basic data quality checks, validation rules, and reconciliation controls as per defined standards.
•    Assist in creating and maintaining logical and physical data models aligned with business requirements.
•    Follow enterprise data governance, security, and data management practices while working with data assets.
•    Support performance tuning activities by identifying issues, documenting observations, and applying recommended improvements.
•    Collaborate with business analysts, data scientists, and downstream consumers to understand and fulfil data requirements.
•    Troubleshoot routine data pipeline issues and escalate complex issues with clear documentation.
•    Prepare and maintain technical documentation, runbooks, and operational procedures.
•    Use Databricks Genie Spaces and Genie Code capabilities, where applicable, to improve productivity and support AI-assisted development workflows.

Required Skills
•    Hands-on working knowledge of Databricks.
•    Proficiency in PySpark and SQL.
•    Basic understanding of Azure Data Platform services.
•    Experience in developing or supporting ETL/ELT pipelines.
•    Understanding of data quality management concepts and validation practices.
•    Understanding of RDBMS and basic data modelling concepts such as Star Schema, Snowflake Schema, and Dimensional Modelling.
•    Awareness of data governance, metadata management, and data security principles.
•    Ability to follow coding standards, documentation practices, and review feedback.

Preferred Skills
•    Python programming knowledge.
•    Exposure to Databricks Genie Spaces or Genie Code for AI-assisted analytics and development.
•    Exposure to Delta Lake, Lakehouse architecture, and CI/CD practices.
•    Knowledge of Azure Data Factory, Azure Synapse, or related Azure analytics services.
•    Familiarity with Git and basic DevOps practices.

Qualifications
•    Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
•    1 - 3 years of relevant experience in data engineering and cloud-based data platforms.

Key Competencies
•    Strong problem-solving and analytical mindset.
•    Ability to learn quickly and work collaboratively in a fast-paced environment.
•    Good communication skills and ability to work with stakeholders.
•    Attention to detail with focus on quality, documentation, and operational discipline.
•    Willingness to take guidance, apply feedback, and build technical depth over time.

Mandatory Screening Criteria
•    Databricks - hands-on working knowledge.
•    RDBMS and SQL - mandatory.
•    PySpark - mandatory.
•    Azure Data Platform - basic understanding mandatory.
•    ETL development or support experience.
•    Data quality and data modelling fundamentals.
•    Awareness of data governance concepts.
•    Exposure to Databricks Genie Spaces or Genie Code is preferred.
•    Overall experience: 1 - 3 years.

 

What we offer you

At EY, we will develop you with future-focused skills and equip you with world-class experiences. We will empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.
Are you ready to shape your future with confidence? Apply today.
To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need.
Our Commitment

Our Commitment: As a commitment, we persistently endeavour to embody our values, fulfil our purpose, and champion inclusiveness. Our dedication is to cultivate EY into an environment where diverse perspectives are celebrated, creating a supportive atmosphere for individuals to authentically be themselves and contribute their utmost.
Professional Development: From entry-level employees to leaders, we believe in continuous learning. We offer opportunities to build new skills, contribute to meaningful work, and connect and grow through mentorship.
People and Culture: In our dynamic workplace, diversity, equity, and inclusiveness are ingrained in our culture. We are united by a commitment to create an environment where every individual's differences are valued, practices are equitable, fostering a sense of belonging. Our shared values include integrity, respect, teaming, inclusiveness, energy, enthusiasm, courage to lead, and building relationships based on doing the right thing.
Benefits: Embark on a transformative career journey with us and indulge in a suite of premium benefits, encompassing exclusive health and wellness packages, enticing rewards, and cutting-edge learning opportunities that empower you to continually grow and excel in your professional and personal development.
How to Apply: If you are passionate to join us and are aligned with our commitment to building a better working world, we invite you to apply by completing our user-friendly form with personal and professional information and by providing your consent to data privacy.
Successful candidates advance to a competency-based interview. If mutual interest persists, a job offer awaits.
We are an equal opportunity employer and are committed to Diversity, Equity & Inclusion.

 

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.  

Experience Level

Senior Level