Senior Batch Data Engineer (Alibaba Cloud Stack)

OneBullEx; Dubai; On-site; AED 446,000 - 670,000; Full time

Job summary

OneBullEx is seeking aSenior Batch Data Engineer to own end-to-end enterprise batch data warehouse on Alibaba Cloud. You will design, maintain, and optimise batch pipelines supporting dashboards, analytics, and AI/ML services, leveraging AI-assisted engineering to rapidly build data layers and enforce data quality.

You will collaborate with cross-functional teams in English and Chinese, ensuring high performance, scalable architectures, and cost-efficient cloud usage.

Qualifications

• 5+ years of hands-on experience with Alibaba Cloud data services.
• Strong SQL and Python for data engineering and performance tuning.
• Proven ability to model multi-layer enterprise data structures (ODS, DWD, DWS, ADS).
• Fluent in English and Chinese for cross-functional collaboration.
• Ownership mindset with proactive communication and delivery speed.

Responsibilities

• Design, build, and maintain ETL/ELT batch pipelines on Alibaba Cloud DataWorks and MaxCompute.
• Develop enterprise data warehouse layers (ODS, DWD, DWS, ADS) using SQL/Python and AI tools.
• Ensure data reliability, strong query performance, and cost-efficient resource usage.
• Integrate AI tools into daily workflow to accelerate coding and data validation.
• Provide end-to-end ownership of batch pipelines and collaborate with English/Chinese teams.

Skills

SQL

Python

Batch processing

Data modeling

Bilingual EN/ZH

Tools

DataWorks

MaxCompute

DTS

Hologres

FC Functions

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.