Senior Batch Data Engineer (Alibaba Cloud Stack)

OneBullEx; United Arab Emirates; On-site; AED 360,000 - 600,000; Full time

Job summary

OneBullEx in Dubai, UAE seeks a Senior Batch Data Engineer to own our enterprise batch data warehouse on Alibaba Cloud, designing and optimising end-to-end ETL/ELT pipelines for dashboards, analytics and AI/ML services.

You will implement data quality, automated validation, and proactive monitoring across the platform, collaborating with regional teams in English and Chinese.

Qualifications

• 5+ years of hands-on data engineering with Alibaba Cloud data services (DataWorks, MaxCompute, DTS, Hologres).
• Strong SQL and Python for data engineering, performance tuning and queries.
• Experience modelling multi-layer enterprise data structures (ODS, DWD, DWS, ADS).
• Fluent in English and Chinese for technical collaboration across regional teams.

Responsibilities

• Design, build, and maintain scalable ETL/ELT batch pipelines on Alibaba Cloud platforms.
• Model enterprise data warehouses (ODS, DWD, DWS, ADS) and optimise batch processing workflows.
• Implement data quality checks, automated validation, and monitoring within DataWorks jobs.
• Collaborate cross-functionally in English and Chinese to deliver timely analytics and AI/ML services.

Skills

Batch Data Engineer

SQL

Python

Data Modeling

ETL/ELT

Alibaba Cloud DataWorks

MaxCompute

DTS

Hologres

Data Integrity

English

Chinese

Education

Bachelor's degree in a relevant field

Tools

Copilot

LLMs

AI-assisted testing

Job description

Dubai, UAE

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.