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Intern, Data Engineering (SG)
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- New graduates
- For current students
Job title: Intern, Data Engineering (SG)
What you’ll work on
Full postingDesign, develop and maintain ETL pipelines
Integrate data from various sources into cloud data platforms
Clean, transform and analyse data with SQL and Python
Deploy and monitor data workflows using Azure tools
Implement data processing and analytics tools on Databricks
From the employer’s posting
Assist in designing, developing, and maintaining ETL pipelines.
Support data integration from various sources into cloud-based data platforms.
Work with SQL and Python to clean, transform, and analyse data.
Utilise Azure tools and services to deploy and monitor data workflows.
Implement data management, processing, and analytics tools on Databricks.
What you’ll bring
All qualificationsCore experience
- Proficiency in SQL and Python
- Familiarity with Azure data services such as Data Factory and Blob Storage
- Understanding of database systems, ETL processes and cloud web services
- Strong analytical and problem-solving skills
- Able to work independently and in a team
Qualification wording
Proficiency in SQL and Python.
Familiarity with Azure tools and services (e.g., Azure Data Factory, Azure Function, Azure App Service, Azure SQL, Azure Cosmos DB, Azure Blob Storage).
Understanding of database systems, ETL processes, and cloud web services.
Strong analytical and problem-solving skills.
Ability to work independently and in a team environment.
About SATS
At SATS, people are our greatest asset and we build our success on the knowledge, expertise and performance of every contributor, by embracing diversity and uniqueness.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 8 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 5, 20268 days ago
- Recorded sightings
- 9
- Last seen by us
- Nov 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
SATS is hiring
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Azure
- Databricks
Where the posting names them
Data Engineer: We are seeking enthusiastic and driven interns with a passion for data engineering and analytics to join our team. This internship offers hands-on experience in building and optimising data pipelines, working with cloud technologies, and contributing to real-world data solutions that drive business insights. Key Responsibilities: - Assist in designing, developing, and maintaining ETL pipelines. - Support data integration from various sources into cloud-based data platforms. - Work with SQL and Python to clean, transform, and analyse data. - Participate in data platform and data management framework design and implementation. - Collaborate with cross-functional teams to understand data requirements and deliver solutions. - Utilise Azure tools and services to deploy and monitor data workflows. - Implement data management, processing, and analytics tools on Databricks. - Document processes and contribute to knowledge-sharing within the team. Key Requirements
Key Requirements Skills, qualifications, experience: - Proficiency in SQL and Python. - Familiarity with Azure tools and services (e.g., Azure Data Factory, Azure Function, Azure App Service, Azure SQL, Azure Cosmos DB, Azure Blob Storage). - Understanding of database systems, ETL processes, and cloud web services. - Strong analytical and problem-solving skills. - Ability to work independently and in a team environment.
Your next step
Complete your application on careers.sats.com.sg. The employer’s form will show what is required.
Applying through SAP SuccessFactors
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Already applied? Track this application
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
About Us
Headquartered in Singapore, SATS Ltd. (SGX stock code: S58) is one of the world’s largest providers of air cargo handling services and Asia’s leading airline caterer. SATS Gateway Services provides airfreight and ground handling services including passenger services, ramp and baggage handling, aviation security services, aircraft cleaning and aviation laundry. SATS Food Solutions serves airlines and institutions, and operates central kitchens with large-scale food production and distribution capabilities for a wide range of cuisines. SATS is present in the Asia-Pacific, the Americas, Europe, the Middle East and Africa, powering an interconnected world of trade, travel and taste. Following the acquisition of Worldwide Flight Services (WFS) in 2023, the combined SATS and WFS network operates over 225 stations in 27 countries. These cover trade routes responsible for more than 50% of global air cargo volume. SATS has been listed on the Singapore Exchange since May 2000. For more information, please visit www.sats.com.sg
Why Join Us
At SATS, people are our greatest asset and we build our success on the knowledge, expertise and performance of every contributor, by embracing diversity and uniqueness. As part of our holistic approach and commitment to embracing FAM (Fulfilling, Appreciated, Meaningful) in the workplace, we offer the runway to develop Fulfilling careers that foster your career growth, recognising and Appreciating the strength of talent and capabilities that we continue to build internally; and inspiring and encouraging each other to make Meaningful contributions in the work we do at SATS.
Key Responsibilities
Data Engineer:
We are seeking enthusiastic and driven interns with a passion for data engineering and analytics to join our team. This internship offers hands-on experience in building and optimising data pipelines, working with cloud technologies, and contributing to real-world data solutions that drive business insights.
Key Responsibilities:
- Assist in designing, developing, and maintaining ETL pipelines.
- Support data integration from various sources into cloud-based data platforms.
- Work with SQL and Python to clean, transform, and analyse data.
- Participate in data platform and data management framework design and implementation.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
- Utilise Azure tools and services to deploy and monitor data workflows.
- Implement data management, processing, and analytics tools on Databricks.
- Document processes and contribute to knowledge-sharing within the team.
We are seeking enthusiastic and driven interns with a passion for data engineering and analytics to join our team. This internship offers hands-on experience in building and optimising data pipelines, working with cloud technologies, and contributing to real-world data solutions that drive business insights.
Key Responsibilities:
- Assist in designing, developing, and maintaining ETL pipelines.
- Support data integration from various sources into cloud-based data platforms.
- Work with SQL and Python to clean, transform, and analyse data.
- Participate in data platform and data management framework design and implementation.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
- Utilise Azure tools and services to deploy and monitor data workflows.
- Implement data management, processing, and analytics tools on Databricks.
- Document processes and contribute to knowledge-sharing within the team.
Key Requirements
Skills, qualifications, experience:
- Proficiency in SQL and Python.
- Familiarity with Azure tools and services (e.g., Azure Data Factory, Azure Function, Azure App Service, Azure SQL, Azure Cosmos DB, Azure Blob Storage).
- Understanding of database systems, ETL processes, and cloud web services.
- Strong analytical and problem-solving skills.
- Ability to work independently and in a team environment.
- Proficiency in SQL and Python.
- Familiarity with Azure tools and services (e.g., Azure Data Factory, Azure Function, Azure App Service, Azure SQL, Azure Cosmos DB, Azure Blob Storage).
- Understanding of database systems, ETL processes, and cloud web services.
- Strong analytical and problem-solving skills.
- Ability to work independently and in a team environment.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Singapore
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.