跪拜 Guibai
← Back to the summary

China's New National Data Group Opens Mass Hiring in Xiong'an: Data Roles Beyond AI

Today's recruitment notice is worth a look for both fresh graduates and tech workers with a few years of experience.

On October 20, the National Data Group was established in Xiong'an New Area, Hebei Province. Recently, this new central state-owned enterprise officially launched its 2027 autumn campus recruitment and 2026 social recruitment.[1][3]

What attracts me is not just the "central enterprise" label, but that it has written data resource development and utilization directly into its core business.

For graduates currently job hunting, and for professionals working in data, AI, security, and government-enterprise digitalization, this is a new opportunity worth serious study.

image.png

image.png

National Data Group recruitment portal: https://cndg.iguopin.com/
Campus recruitment portal: https://cndg.iguopin.com/job1
Social recruitment portal: https://cndg.iguopin.com/job2

What does this "national data team" actually do?

Many people hear "data group" and think it is still about building data warehouses, making reports, and maintaining platforms.

That understanding is too narrow.

According to the official positioning, the National Data Group will undertake tasks such as data element services, interconnection and interoperability of data infrastructure, and data technology innovation, while also providing high-quality datasets and corpora for the AI industry.[2]

In terms more familiar to programmers:

For models to truly enter an industry, algorithms and compute matter, but data matters equally.

Where does data come from? Is the quality acceptable? Can it be used in compliance? How does data circulate across departments and industries? Who takes responsibility when problems arise?

These hard problems are exactly what this company intends to tackle.

This recruitment has entry points for both graduates and professionals

Social recruitment: not just a few operations roles

Social recruitment targets excellent talent with relevant work experience, covering six main categories:[3][5]

微信图片_2026-11-05_093023_667.png

I especially recommend two groups of professionals pay attention:

One group is those doing data development, data governance, and data security. In many companies, this work is important but not easily visible; when data resource development and utilization become the primary business, your experience may be exactly what is needed.

Another group is those who understand both technology and industry. Industries such as finance, energy, telecommunications, healthcare, and transportation all have complex data standards and business rules. Do not underestimate the digitalization experience you have accumulated in traditional industries.

Campus recruitment: not just algorithm roles

The 2027 autumn recruitment targets 2027 graduates, and also includes 2025 and 2026 graduates who are still within the career-selection period and have not yet secured employment.[3]

Positions cover R&D, product, solution, operations & delivery, marketing, and functional directions, including AI algorithm and large-model engineer, frontend/backend engineer, data governance engineer, agent R&D engineer, data analyst, and more.[3][4]

Required majors are not limited to computer science; they also include software engineering, electronic information, mathematics, statistics, artificial intelligence, data science and big data technology, as well as economics, management, and law.

The campus recruitment application deadline is November 30, 2026, at 17:00.[3]

微信图片_2026-11-05_093010_539.png

Graduates need not be intimidated by the words "National Data Group." It is not that you must have worked on large models or published papers to apply; positions in frontend/backend, data governance, product, operations, and functional areas can all be filtered according to your own experience.

Why is it worth a serious look for tech workers?

First, the further large models go into industry, the more they cannot avoid data.

Anyone who has actually worked on projects knows that if data is dirty, standards are inconsistent, and industry knowledge is incomplete, even the strongest model may remain at the demonstration stage.

Second, data projects require more than just people who can write code.

How data is connected, how business definitions are unified, how security is ensured, and how the platform is actually used after launch all require R&D, product, solution, and delivery teams to work together.

For graduates, the first job does not have to be chosen solely on job title. Whether you can touch complete projects, whether there are reliable people to guide you, and what abilities you can retain after a few years are also worth considering.

But don't get excited too early; there are two things to think through

1. Work location

The group's headquarters is in Xiong'an. Specific work location, business trips, or residency requirements should be carefully read in the job description.

If you currently live in a first- or second-tier city, consider practical issues such as housing, family commuting, and spouse's job early, and don't wait until you get an offer to start agonizing.

2. A new organization means space, but also a period of exploration

How business lands, how platforms are built, how processes are defined, early teams may encounter many problems with no ready answers.

So, don't automatically assume that "central enterprise" means easy and stable, and don't conclude that "newly established" means no mature business. Work pace, job responsibilities, and training mechanisms should all be asked clearly at the interview.

Each candidate can apply for only one position; read the job details carefully before applying

For social recruitment resumes, focus on results.

Don't just write "familiar with Spark, Flink, responsible for data governance." Better to write clearly: how many systems you connected, what data quality or performance problems you solved, and what results ultimately came from it.

For campus recruitment resumes, focus on personal contribution.

Don't just pile up course names and tech stacks. Which part of the project were you responsible for, what difficulties did you encounter, and how did you verify the effect? These are more persuasive than a sentence like "participated in developing a certain system."

Course projects and personal projects can also be written, but don't dress up ordinary exercises as "tens of millions of concurrent users." After ten minutes of interviewing, the truth is usually clear.

Application portals

Campus recruitment:
https://cndg.iguopin.com/job1
Application deadline: November 30, 2026, 17:00

Social recruitment:
https://cndg.iguopin.com/job2
Specific application deadlines are subject to the job details.

Each candidate can apply for only one position; read the job details carefully before applying.

Specific education, major, years of experience, and work location are subject to the official job details. Be wary of anything claiming "paid internal referral" or "guaranteed hiring."[4][5]

Final words

An opportunity truly worth looking at is not just "seems stable"; more importantly:

Can the abilities you have accumulated continue to appreciate in the coming industry?

Whether the National Data Group is worth going to has no one-size-fits-all answer.

But if you are working in data, AI, security, or government-enterprise digitalization, or happen to be a graduate in a related major, it is at least worth carefully flipping through the job list, rather than getting excited at the sight of "central enterprise" or closing the page at the sight of "Xiong'an."

Later I will continue to break down these positions, discussing how to choose positions for campus and social recruitment, how to revise resumes, and which project experiences should be placed first.

Interested friends can follow me. Which do you want to see most: position selection, resume revision, or the actual cost of working and living in Xiong'an? Tell me in the comments, and I will write about what you care about most next.


Sources

[1] Xinhua News: "National Data Group Established," October 20, 2026 https://www.xinhuanet.com/20261020/96d83c5a0053439a920fe2c956f551de/c.html

[2] Xinhua News: "Focusing on Data as Core Business, This New Central Enterprise Unveils," October 20, 2026 https://www.xinhuanet.com/20261020/781eb943b70245009b3ef22a7747cc91/c.html

[3] Sichuan Radio and Television: "New Central Enterprise Opens Public Recruitment" (quoting public information from "Guozi Xiaoxin" and Xinhua), November 3, 2026 https://www.sctv.com/news/2117495037302870018

[4] Guopin: National Data Group Campus Recruitment Official Portal https://cndg.iguopin.com/job1

[5] Guopin: National Data Group Social Recruitment Official Portal https://cndg.iguopin.com/job2

Information verified as of November 4, 2026. Recruitment positions and arrangements may be adjusted; please refer to the latest official announcements.