Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 30 days ago

Junior Data Engineer

Workable (global search)109,826 open roles

Where
Shenzhen, Guangdong Province, China
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowJunior Data EngineerWorkable (global search) · Shenzhen, Guangdong Province, China

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Workable (global search)'s own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 2 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 30 days ago

Workable (global search) median: 2 days open

The posting

The Junior Data Engineer supports the Finance department's day-to-day data operations within a 3PL business environment. The primary focus of this role is data processing and verification — including logistics billing reconciliation and customer pricing data preparation — while also assisting senior engineer with the gradual build-out of automated workflows. A foundational technique of programming is expected, with the opportunity to develop technical skills on the job. The role also assists on the build-out of the company's BigQuery data room, and is expected to work AI-first — using AI coding assistants and LLM-based tools as the default approach to day-to-day data work.

  • Billing Verification & Reconciliation: Process and verify logistics carrier invoices; cross-check billing data against system records and internal references; establish validation rules and flag discrepancies and follow up with relevant parties for resolution.
  • Customer Pricing Data Preparation: Assist senior data engineers in collecting, organizing, and maintaining customer rate data; create data quality check rules to support the preparation of customer pricing and perform basic data quality checks to ensure accuracy.
  • Automation Support & Learning: Assist senior data engineers in testing and validating automated workflows; complete daily data query and validation, and proactively learn to take on more technical tasks over time.
  • Ad-hoc Data Tasks: Handle data processing and reporting requests from the Finance department and cross-functional teams as assigned, including data collation, formatting, and basic transformation tasks.
  • BigQuery Data Room Support: Assist the senior data engineer on the BigQuery data room project — loading and staging source data, writing and testing SQL queries and transformation logic, documenting table structures and field definitions, and running data quality checks to confirm that modelled data ties back to the source systems.
  • AI-First Ways of Working: Use AI and LLM-based tools as the default approach to daily work — including AI coding assistants for writing and debugging SQL and Python, and LLM tools for data checks, documentation and reconciliation support. Write and refine prompts, build reusable prompt templates and lightweight AI-assisted workflows for recurring tasks, and always validate AI output against source data before it is relied upon.

Requirements

  • Bachelor's degree or above in Computer Science, Information Systems, Statistics, or a related field.
  • 2–3 years of relevant working experience in data processing, operations, or a related role; logistics or 3PL industry background is a plus.
  • Working knowledge of SQL and basic Python; hands-on exposure to a cloud data warehouse — Google BigQuery in particular — is a strong advantage, and a genuine willingness to grow technically is essential.
  • Comfortable working with large volumes of data manually; proficient in Excel for data collation, cross-referencing, and basic analysis.
  • Demonstrated hands-on use of AI tools (e.g. ChatGPT, Claude, GitHub Copilot, Cursor) in data or engineering work; able to write effective prompts, use AI coding assistants to produce and debug SQL and Python, and critically verify AI output against source data. Candidates should be prepared to describe how they currently use AI in their day-to-day work.
  • Meticulous attention to detail and a strong sense of data accuracy; able to identify inconsistencies in complex datasets.
  • Self-motivated, adaptable, and willing to work in a hands-on, process-building environment where systems are still maturing.
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Workable (global search)'s own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Workable (global search)'s form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Workable (global search)'s answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.