INTERNSHIP DETAILS

Data Engineering Intern (ETL & Python)

CompanySeagate Technology
LocationSingapore
Work ModeOn Site
PostedJanuary 2, 2026
Internship Information
Core Responsibilities
As a Data Engineering Intern, you will work with senior engineers on ETL processes and develop complex SQL queries. You will also use Python for automation and collaborate with various teams to deliver data integration solutions.
Internship Type
full time
Company Size
16404
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Seagate is a leader in mass-capacity data storage. We’ve delivered more than four and a half billion terabytes of capacity over the past four decades. We make storage that scales, bringing trust and integrity to innovations that depend on data. In an era of unprecedented creation, Seagate stores infinite potential. Unlock the full value of your data today.
About the Role

About our group:

We are an IT MES (Manufacturing Execution System) team based in Woodlands, supporting Seagate’s global factory operations in Singapore, Malaysia, US, Thailand, and China. Our core mission is to design and implement scalable data integration solutions that power MES and Factory IT applications.

Our focus includes Database ETL processes, complex SQL development, and Python-based automation to optimize data flows and ensure system reliability. Beyond traditional data engineering, we are also exploring Generative AI and Agentic AI solutions to modernize data platforms and create new value for factory operations.

This internship is ideal for students who are passionate about ETL/Data Engineering with Oracle, eager to sharpen their Python skills, and curious about the application of LLMs and AI frameworks in enterprise IT.

About the role - you will:

As a Data Engineering Intern, you will:

  • Work with senior engineers on ETL processes in Postgres / Oracle, including writing and optimizing stored procedures, functions, and packages.
  • Develop and optimize complex SQL queries to support data extraction, transformation, and reporting needs.
  • Use Python for automation, data processing, and proof-of-concepts.
  • Collaborate with Application Architects and Business SMEs to deliver data integration solutions supporting MES and factory applications.
  • Contribute to projects involving LLMs, LangChain, LangGraph, and Marimo notebooks for GenAI-enabled data pipelines.
  • Support testing, troubleshooting, and documentation to ensure system reliability and performance.

About you:

  • Strong foundation in SQL and relational database concepts.
  • Hands-on skills in Database stored procedures, triggers, and performance tuning.
  • Comfortable coding in Python and eager to apply it for ETL automation and analytics.
  • Interested in emerging technologies like Generative AI, LLM frameworks (LangChain, LangGraph), and Marimo notebooks.
  • Detail-oriented, analytical, and self-motivated with strong problem-solving skills.
  • Good communication and teamwork abilities.

Your experience includes:

  • Pursuing a degree in Computer Science, Software Engineering, Information Systems, or related field.
  • Experience (academic or project-based) with ETL pipelines in Oracle/Postgres
  • Familiarity with Generative AI frameworks (LangChain, LangGraph, Chainlit, or similar).
  • Knowledge of version control (Git) and Agile practices.

Location:

Our Woodlands site is one of the largest electronics manufacturing sites in Singapore, housing our recording media operations. Spread over three sites, it is easily accessible via bus or from the MRT Station, with many employees taking mass transportation to work. Here at work, you can enjoy breakfast, lunch, dinner, and snacks at our onsite canteen and coffee shop. We offer a range of facilities including an in-house gym and dance studio, as well as after-work badminton and table tennis competitions. On-site celebrations and community volunteer opportunities also abound.

 

Location: Woodlands, Singapore, W2
Travel: None

Key Skills
SQLPythonETLDatabaseAutomationData ProcessingGenerative AILLM FrameworksPerformance TuningVersion ControlAgile PracticesProblem SolvingCommunicationTeamworkDetail-orientedAnalytical
Benefits
Onsite CanteenCoffee ShopIn-house GymDance StudioAfter-work CompetitionsCommunity Volunteer Opportunities