Consulting_HR Analytics_Senior

Position: People Consulting_HR Analytics_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.

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 ud 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 hon data libraries:
Proficiency with Pandas, Num Py, 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 (Postgre

SQL, MySQL) and No

SQL databases (Mongo

DB, Cassandra).
Cloud platforms:
Working knowledge of AWS, Azure, or GCP data services.
Data Lake and Lakehouse concepts:
Understanding how to structure and…