Senior Data Engineer

People Consulting_HR Analytics_Senior

Data Engineer – Senior

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. 

 

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.

Enablement Services provides cost-effective, high-skilled, and innovative services to support EY’s global and local enablement teams. Markets, BMC, AWS, Finance and Accounting, Risk Management, Procurement, People Shared Services, IT Service Delivery and IT Global Infrastructure services, are among the services offered by Enablement Services.

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.

 

The Opportunity

• We are seeking a Senior Data Engineer with strong Python expertise to join our team. The core purpose is to design, build, and maintain the data infrastructure and pipelines that support the organization's business intelligence and analytics.

 

Your Key Responsibilities

• Designing and implementing data pipelines that reliably process large volumes of data
• Managing and optimizing data infrastructure and systems
• Ensuring data quality, security, and compliance
• Collaborating with stakeholders to understand data requirements
• Troubleshooting and maintaining production systems

 

Skills and attributes for success

• Technical Foundation: Need strong programming skills, particularly in Python, with hands-on experience building real systems in production environments. Should be comfortable working with modern data platforms like Databricks and be proficient in tools that orchestrate data workflows.
• Data Infrastructure Knowledge: Understanding how data flows through systems are essential. This includes knowledge of databases, data warehouses, data lakes, architectures—essentially knowing different ways to store and organize data at scale.
• Cloud Proficiency: You need practical experience with major cloud providers (AWS, Azure, or GCP) and their data services, as modern data engineering happens almost exclusively in the cloud.
• Problem-Solving Mindset: The role requires analytical thinking to design efficient solutions and troubleshoot issues when systems fail or perform poorly.

 

Ideally, you’ll also

• Python expertise: 5+ years of hands-on work in production environments. You should be able to write clean, efficient code at scale.
• Python data libraries: Proficiency with Pandas, NumPy, SQL Alchemy, and PySpark for data manipulation and processing.
• Workflow orchestration: Experience with tools like Apache Airflow, Prefect, or Luigi that automate and schedule data jobs.
• SQL and Databases: Solid SQL skills and familiarity with both relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Cassandra).
• Cloud platforms: Working knowledge of AWS, Azure, or GCP data services.
• Data Lake and Lakehouse concepts: Understanding how to structure and manage large-scale data storage systems.
• Git: Version control expertise for code management and collaboration.
• Education: A bachelor's or master's degree in computer science, engineering, or a related field
• Advanced Databricks Skills: Knowledge of Databricks ML flow for machine learning pipelines, Databricks SQL, and BI tool integrations. This shows you can work across the analytics and machine learning spectrum
• Open-source Contributions: Active contributions to open-source Python projects. This demonstrates engagement with the tech community and software engineering best practices.
• Data Science Knowledge: Understanding of data science concepts and machine learning workflows, which shows breadth beyond just engineering.

 

What we look for

EY People Consulting is likely seeking someone who:

• Has a proven track record of shipping data systems to production
• Balances technical depth with practical business awareness
• Can communicate across technical and non-technical audiences
• Is proactive about learning and staying current with evolving technologies
• Works well in teams and takes pride in enabling others' success

 

What we offer you

At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

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: 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 senior leaders, we believe in continuous learning. We offer opportunities to build new skills, take on leadership roles, and connect and grow through mentorship.

People and Culture: In our dynamic workplace, diversity, equity, and inclusiveness are ingrained in our culture. We're 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”.

Experience Level

Senior Level