Senior Data Engineer

Senior Data Engineer – Job Specification

Location: Hyderabad, India
Team: Global Data and Media Division
Reporting to: Director of Product

About Us:

GlobalData is a productivity and intelligence platform that empowers leaders to act decisively in a world of complexity and change.

By uniting proprietary data, human expertise, and purpose-built AI into a single, connected platform, we help organizations see what's coming, move faster, and lead with confidence.

Our solutions are used by over 5,000 organizations across the world's largest industries, delivering tailored intelligence that supports strategic planning, innovation, risk management, and sustainable growth.

Data that goes deeper

Proprietary coverage of 95% of global GDP, synthesized in real time from internal and external sources, aligned under a single business taxonomy - giving you earlier insight, unified context, and decisions you can trust.

Experts who turn insight into impact

Human insights that AI alone can't replicate, from industry specialists and strategic advisors, embedded in your workflows to decode complexity and guide high-value action.

AI that moves smarter & faster

AI that doesn't just think, but acts - forecasting market moves, surfacing answers in seconds, and freeing your teams to focus on execution when timing matters most.

Workflow solutions

Together, our six solutions turn intelligence into action, helping every team make smarter, faster decisions. Each solution focuses on the decisions that matter most, driving measurable impact.

About the Role

We are seeking a Senior Data Engineer to join our Global Data Media division in Hyderabad. This role focuses on building scalable data platforms, enabling analytics, and supporting data-driven product capabilities.

You will work with large and complex datasets, designing and maintaining robust data pipelines and architectures. In addition, you will contribute to enabling AI and machine learning use cases by building reliable, high-quality data foundations.

This is primarily an individual contributor role with ownership of architecture and implementation, and a clear path toward future technical leadership.

Key Responsibilities

• Design and build scalable data pipelines and ingestion frameworks across batch and real-time processing
• Own and evolve data architecture to support analytics, reporting, and product use cases
• Manage and process large-scale datasets from multiple sources
• Partner with data scientists and analysts to enable advanced analytics and AI use cases
• Build and maintain data models that support both internal reporting and product features
• Support integration of machine learning and AI workflows through well-structured and accessible data
• Collaborate with full-stack engineering teams to support data-driven applications
• Ensure data quality, reliability, and performance across the platform

Tech Stack

• Cloud: AWS or similar cloud platforms
• Data Processing: Batch and real-time pipelines
• Languages: Python and SQL including numpy, pandas, matplotlib and other analytics libraries
• Data Platforms: Modern data warehousing and lake architectures
• The ideal candidate should possess demonstrated experience in the design, development, and maintenance of data pipelines.
• Frontend Collaboration: Integration with application and API layers
• AI Enablement: Data infrastructure supporting machine learning and AI workflows

Requirements

• 5 or more years of experience in data engineering or related roles
• Strong experience building and maintaining data pipelines in cloud environments
• Proven ability to design scalable data architectures
• Experience working with large and complex datasets
• Strong programming skills in Python and solid SQL expertise
• Experience supporting analytics and reporting use cases
• Ability to work cross-functionally with data, product, and engineering teams
• Experience enabling or supporting machine learning and AI workflows
• Ability to take ownership of both architecture and implementation

Nice to Have

• Experience in data-driven or digital product environments
• Background in SaaS or platform-based businesses
• Familiarity with real-time or streaming data architectures
• Experience with modern data tools such as Airflow, dbt, or Spark
• Exposure to data infrastructure supporting AI or Generative AI applications
• Experience in large-scale or enterprise data environments

Growth and Impact

• Opportunity to shape scalable data platform architecture
• Work across both internal analytics and product-facing use cases
• Enable advanced analytics and AI capabilities through strong data foundations
• Collaborate with cross-functional teams across data, product, and engineering
• Clear pathway toward technical leadership and team ownership

Commitment to D&I and EEO:

We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, GlobalData is proud to be an Equal Opportunity Employer. GlobalData is determined to ensure that no applicant or employee receives less favorable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, race, or is disadvantaged by conditions or requirements which cannot be shown to be justifiable