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Contemporary Amperex Technology · 香港, 中国

# Data Engineer

香港, 中国 Data & Analytics 

Listed on Contemporary Amperex Technology’s official careers site. Listed as of October 19, 2026. Check that it is still open and apply there.
[Apply on Contemporary Amperex Technology’s careers site →](https://app.mokahr.com/social-recruitment/catlhr/98098#/job/5f18e176-22f1-42d1-9975-9f23bcaf222a)

[OpenNash Jobs](https://jobs.opennash.com/) / [Contemporary Amperex Technology](https://jobs.opennash.com/companies/contemporary-amperex-technology/) / Data Engineer

## Job description

### Summary

Build and operate the R&D data foundation for battery research. You will own database systems (MySQL/Postgres/MongoDB), build reliable data pipelines that clean/split/load multi-source data into curated datasets, and deliver code-based internal dashboards. You will also apply advanced automation (agent-based workflows; OpenClaw or similar as a plus) to reduce manual effort in data cleaning, validation, and reporting, integrated into day-to-day ETL/DQ operations.

### Responsibilities

Database operations and optimization: schema design, indexing/partitioning, query tuning, backup/restore, monitoring/alerting, and routine maintenance for databases.

### Data pipelines

build batch/incremental jobs to ingest R&D data from multiple sources, perform cleaning/standardization, split/route data by rules, and load into curated tables/collections and views.

### Data modeling and dataset delivery

design subject-area datasets and a lightweight metrics/KPI layer in the database to support analytics and modeling.

### Data quality and regression

implement validation rules (units/definitions, completeness, consistency, ranges), generate quality reports, and run regression checks for changes in schema/logic.

### Code-based visualization

build and maintain a small set of high-impact internal dashboards/apps for key R&D metrics and data health.

### Advanced efficiency

use agent-based automation to accelerate repetitive tasks such as schema mapping, cleaning-rule generation, anomaly triage, documentation/runbook drafts, and QA report generation.

### Collaboration

work with scientists/engineers to clarify definitions, iterate on data models, and improve data usability.

### Requirements

Strong Python and SQL; able to independently implement reliable data processing/loading jobs and maintain production code. Hands-on experience with at least two of the following: MySQL, PostgreSQL, MongoDB; comfortable with database troubleshooting and performance tuning. Practical experience with ETL/ELT, data modeling, and working with messy real-world R&D/industrial datasets.

### Engineering fundamentals

job scheduling, logging, monitoring, error handling, version control, and documentation.

### Preferred

Stream processing or modern data stack exposure (e.g., Kafka, Spark/Flink, Trino/Presto). Streamlit (or similar) app development and basic frontend sense for internal tools. Agent/automation frameworks (e.g., OpenClaw, LangChain, LlamaIndex) used for developer productivity or data workflow automation. Experience with time-series/curve data, lab/test data, or scientific data formats.

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: Under a day
- Location: 香港, 中国[Apply on Contemporary Amperex Technology’s careers site →](https://app.mokahr.com/social-recruitment/catlhr/98098#/job/5f18e176-22f1-42d1-9975-9f23bcaf222a)

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