# Senior Batch Data Engineer (Alibaba Cloud Stack)

[Onebullex](https://gurify.com/jobs?q=Onebullex) · Dubai, United Arab Emirates · Posted 8 weeks ago

Senior

[Data](https://gurify.com/jobs/data)

[Apply on the original posting → (opens in a new tab)](https://job-boards.eu.greenhouse.io/onebullex/jobs/4970377101)

## Job description

OneBullEx is looking for a highly accountable, self-driven Senior Batch Data Engineer to take end-to-end ownership of our enterprise batch data warehouse on Alibaba Cloud. In this role, you will design, maintain, and optimise batch pipelines (T-1) supporting executive dashboards, business analytics, and AI/ML services — leveraging modern AI-assisted engineering techniques to rapidly build data layers (ODS, DWD, DWS, ADS) and enforcing strict data quality, automated validation, and proactive monitoring across the platform.

### Key Responsibilities

### Pipeline Architecture & Data Warehouse Modelling

- Design, build, and maintain scalable ETL/ELT batch pipelines using Alibaba Cloud DataWorks and MaxCompute.

- Rapidly design and build enterprise data warehouse layers (ODS, DWD, DWS, ADS) using modular SQL/Python scripts and AI generation tools.

- Develop and optimise data ingestion, transformation, and batch processing workflows across Lakehouse and Data Warehouse architectures (MaxCompute, Hologres, DataWorks, DTS).

- Ensure data reliability, high query performance, schema stability, and cost-effective cloud resource usage.

### AI-Accelerated Engineering & Testing

- Integrate modern AI tools and techniques (e.g. Claude, GitHub Copilot, prompt engineering) into daily workflow to accelerate code generation, SQL refactoring, and data validation.

- Apply new AI testing methodologies to rapidly write unit tests, simulate data scenarios, and audit data accuracy prior to production release.

### Data Quality, Monitoring & Alerting

- Implement strict data quality rules, automated reconciliation scripts, and validation checks directly inside DataWorks jobs.

- Build proactive alerting and monitoring workflows (integrated with Lark) to detect data drift, schema breaks, or pipeline failures before business impact occurs.

- Support downstream analytics, BI reporting, and AI/LLM services with clean, trusted datasets.

### End-to-End Ownership & Collaboration

- Take full ownership of daily T-1 batch pipeline stability, job scheduling, historical backfills, and legacy issue cleanup.

- Act as a bilingual technical bridge, collaborating fluently in both English and Chinese with cross-functional technical leads, product managers, and developers.

### Required Qualifications

- 5+ years of hands-on expertise with Alibaba Cloud data services: DataWorks, MaxCompute, DTS, Hologres, FC Functions, Data Agents, and MaxCompute Lakehouse architectures.

- Advanced proficiency in SQL and Python for data engineering, performance tuning, and database optimisation.

- Proven experience modelling multi-layer enterprise data structures (ODS, DWD, DWS, ADS) and managing batch Lakehouse architectures.

- Fluent in both English and Chinese, spoken and written, for seamless technical collaboration with regional teams.

- Strong sense of ownership, high velocity, proactive communication, and a "deliver fast, iterate continuously" attitude.

### Preferred

- Active experience leveraging AI coding assistants (Copilot, LLMs) to speed up ETL development, code reviews, and query optimisation.

- Experience building alerting and monitoring integrations with Lark or a similar collaboration platform.

- Track record applying AI-driven testing methodologies ahead of production release.

**Live in Onebullex’s hiring system.** Read from the company's own applicant tracking system, not reposted from a job board — so it's a real, open requisition rather than an ad that outlived the role.

We remove it as soon as it disappears at source.

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