INTERNSHIP DETAILS

Data Engineering Intern (Data Integration & Pipeline Development)

CompanyS&P Global
LocationIslamabad
Work ModeOn Site
PostedMay 20, 2026
Internship Information
Core Responsibilities
Assist in building and maintaining ETL/ELT pipelines for data ingestion and integration across various internal and external sources. Collaborate with AI and analytics teams to optimize data transformation workflows and ensure data quality and reliability.
Internship Type
full time
Company Size
41150
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
S&P Global (NYSE: SPGI) enables businesses, governments, and individuals with trusted data, expertise and technology to make decisions with conviction. We are Advancing Essential Intelligence through world-leading benchmarks, data, and insights that customers need in order to plan confidently, act decisively, and thrive economically in a rapidly changing global landscape.   From helping our customers assess new investments across the capital and commodities markets to guiding them through the energy expansion, acceleration of artificial intelligence, and evolution of public and private markets, we enable the world's leading organizations to unlock opportunities, solve challenges, and plan for tomorrow – today. Learn more at www.spglobal.com. Recruitment Fraud Alert: If you receive an email from a https://www.linkedin.com/redir/suspicious-page?url=spglobalind%2ecom domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here: https://www.spglobal.com/content/dam/spglobal/corporate/en/documents/careers/Corp_0525-Recruitment-Fraud-Alert.pdf
About the Role

About the Role:

Grade Level (for internal use):

05

About the Role

We are looking for a motivated and technically curious Data Engineering Intern to join our team. This role provides hands-on exposure to data integration, ETL/ELT pipeline development, and data platform engineering, working alongside experienced professionals on production-grade systems.

This internship is ideal for candidates who want practical experience in modern data architectures and scalable data processing environments.

Key Responsibilities

  • Assist in building and maintaining ETL/ELT pipelines for ingesting data from multiple sources

  • Support data integration across internal systems, APIs, and external data providers

  • Develop and optimize data transformation workflows for structured and semi-structured data

  • Work with large datasets to ensure data quality, consistency, and reliability

  • Collaborate with analytics and AI teams to provision clean, usable datasets

  • Contribute to data modeling, schema design, and storage optimization

  • Monitor and troubleshoot data pipelines and workflows

  • Document data flows, pipeline logic, and engineering processes

  • Follow best practices for data governance, security, and performance optimization

Required Qualifications

  • Students graduating in May/June 2026 or recent graduates with a bachelor's degree in computer science, Software Engineering, Data Science or a related field.

  • Fresher or up to 6 months of experience.

  • Strong understanding of Databases and SQL, Data structures and basic algorithms

  • Willingness to work night shift hours

  • Availability to work on-site twice per week

  • Strong analytical and problem-solving skills

  • Good communication and documentation abilities

Preferred Skills (Nice to Have)

  • Experience with:

    • Python, SQL, or similar languages

    • Data pipelines and workflow tools (e.g., Airflow, dbt, etc.)

    • Cloud data platforms (AWS, Azure, GCP, Snowflake, etc.)

  • Familiarity with:

    • Data warehousing concepts and architectures

    • APIs and data ingestion patterns

  • Basic understanding of distributed data processing concepts

What You’ll Gain

  • Hands-on experience building real-world data pipelines and data platforms

  • Exposure to modern data engineering tools, architectures, and cloud ecosystems

  • Mentorship from experienced data engineers

  • Strong foundation for a career in Data Engineering or Platform Engineering

    Note: This is a paid 9-month internship program

What’s In It For You?

Our Mission:

Advancing Essential Intelligence.

Our People:

We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.

Our Values:
Integrity, Discovery, Partnership


Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.

Benefits:

We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.

Our benefits include: 

  • Health & Wellness: Health care coverage designed for the mind and body.

  • Flexible Downtime: Generous time off helps keep you energized for your time on.

  • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.

  • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.

  • Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.

  • Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries

Global Hiring and Opportunity at S&P Global:

At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.

Recruitment Fraud Alert:

If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.

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Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.  Only electronic job submissions will be considered for employment.  

 

If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.  
 
US Candidates Only: Know Your Rights: Workplace discrimination is illegal

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20 - Professional (EEO-2 Job Categories-United States of America), IFTECH203 - Entry Professional (EEO Job Group)
Key Skills
SQLPythonETL/ELT PipelinesData ModelingSchema DesignData IntegrationAirflowdbtCloud Data PlatformsData WarehousingAPI IngestionDistributed Data Processing
Categories
Data & AnalyticsTechnologyEngineeringSoftware
Benefits
Health Care CoverageFlexible DowntimeContinuous LearningRetirement PlanningContinuing Education ProgramCompany-matched Student Loan ContributionFinancial Wellness ProgramsFamily Friendly PerksRetail DiscountsReferral Incentive Awards