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Data Engineering Intern

Hong Kong, Hong Kong SAR

Live, first seen by us 19 days ago
Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Job Schedule: Full time Remote:
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

New graduates
For current studentsJob title: Data Engineering Intern

What you’ll work on

Full posting
  • Build prototypes and turn them into production-ready code

  • Write tests and define test documents, then run integration and validation tests

  • Implement software in Docker containers

  • Contribute to system and software documentation

From the employer’s posting
the revision of code to be production ready
Define test document, perform integration, verification, and validation tests
implementation in Docker containers
Contribute to System and Software documentation

What you’ll bring

All qualifications

Core experience

  • Degree in data analytics, big data, machine learning, or applied maths or statistics
  • Python with Pandas, NumPy, and scikit-learn or Keras
  • Database principles, DDL and SQL
  • Git, Docker, and Linux commands
  • Fluent English and availability Mon-Fri for at least 6 months from March 2027
Qualification wording
Degree in Data Analytics, Big Data, Machine Learning, applied mathematics, applied statistics
Python and utilisation of existing package for data manipulation (Pandas, Numpy), regressions, time series predictions, clustering, optimization (scikit-learn, keras)
Database principles, DDL and SQL
Use Git, Docker (Dockerfile and docker compose)
Fluent in English

About Hitachi

A career at Hitachi Rail will help create a legacy.

In the employer’s words · Read in context

Apply at Hitachi

Posting record

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Status in our records
Live
First seen by us
Oct 16, 202619 days ago
Recorded sightings
57
Last seen by us
Nov 4, 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

Time since we first saw it

Day 19

Similar jobs usually come down between day 6 and day 54.

From 10,764 similar postings that came down. Coming down is not always a hire.

Hitachi is hiring

16 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring is picking up
  • Takes jobs down quickly
Hiring record

See 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
  • Docker
  • Keras
  • NumPy
  • pandas
  • scikit-learn
Where the posting names them
• Degree in Data Analytics, Big Data, Machine Learning, applied mathematics, applied statistics • Python and utilisation of existing package for data manipulation (Pandas, Numpy), regressions, time series predictions, clustering, optimization (scikit-learn, keras) • Database principles, DDL and SQL
• Python and utilisation of existing package for data manipulation (Pandas, Numpy), regressions, time series predictions, clustering, optimization (scikit-learn, keras) • Database principles, DDL and SQL • Use Git, Docker (Dockerfile and docker compose)
You will be in the Research Technology and Innovation Team and support prototype and software development with a priority on Data preparation and Machine Learning application related requirement. For AI applications, we focus on time series and event data from fare collection and supervisions system. The priority for this internship will be on building prototypes and industrialisation of prototypes. That encompass the creation of new programs, the validation of the results and documentation of the findings, the revision of code to be production ready, development of tests, and implementation in Docker containers. Key Responsibilities
• Database principles, DDL and SQL • Use Git, Docker (Dockerfile and docker compose) • Linux commands (install, configuration)

Your next step

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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

View original posting ↗

Location:

Hong Kong, Hong Kong SAR

Job ID:

R0145808

Date Posted:

2026-10-16

Company Name:

Hitachi Rail Hong Kong Limited

Profession (Job Category):

Administration & Facilities

Job Schedule: 

Full time

Remote:

No

About Us

A career at Hitachi Rail will help create a legacy. With operations in every corner of the world, our work goes to the cutting-edge of digital transformation and technology. From the multi-cultural strength of our global organisation to the sustainable and innovative ways we work to bring people together, there’s something for everyone to get stuck into. And that’s where you come in.

Job Description:

The role

You will be in the Research Technology and Innovation Team and support prototype and software development with a priority on Data preparation and Machine Learning application related requirement. For AI applications, we focus on time series and event data from fare collection and supervisions system.


The priority for this internship will be on building prototypes and industrialisation of prototypes. That encompass the creation of new programs, the validation of the results and documentation of the findings, the revision of code to be production ready, development of tests, and implementation in Docker containers.


Key Responsibilities

• Be involved in prototyping, coding, configuration, and test,

• Contribute to System and Software documentation,

• Define test document, perform integration, verification, and validation tests,

• Deliver software release,

• Perform software quality control


Requirements

• Degree in Data Analytics, Big Data, Machine Learning, applied mathematics, applied statistics

• Python and utilisation of existing package for data manipulation (Pandas, Numpy), regressions, time series predictions, clustering, optimization (scikit-learn, keras)

• Database principles, DDL and SQL

• Use Git, Docker (Dockerfile and docker compose)

• Linux commands (install, configuration)

• Fluent in English

• Data analytics, Machine Learning, Statistical and Mathematical knowledge is an advantage

• Candidates have to commit (Mon - Fri) for at least 6 months starting from March 2027

Thank you for your interest in Hitachi Rail. If your application is of interest, we will be in contact. Please do not hesitate to discover more about us and our latest jobs at  https://www.hitachirail.com/careers.

At Hitachi Rail, there is a place for everyone. We welcome and value differences in background, age, gender, sexuality, family status, disability, race, nationality, ethnicity, religion, and world view. It is our commitment to create an inclusive environment - we are proud to be an equal opportunity employer.

We would be delighted if you would be one of our followers at https://www.linkedin.com/company/hitachirail

Source details

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Location & working pattern

Hong Kong, Hong Kong SAR

Full time Remote: No
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