{"id":2070180,"url":"https://alion.io/job/onebullex-senior-batch-data-engineer-alibaba-cloud-stack","title":"Senior Batch Data Engineer (Alibaba Cloud Stack)","company":{"id":3906428,"name":"OneBullEx","domain":"onebullex.com","url":"https://alion.io/company/onebullex","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dubai, United Arab Emirates"],"countries":["AE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":43000,"max_usd":111000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2157},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"ETL/ELT","optional":false},{"name":"LLM","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-08T06:10:35Z","employer_posted_date":"2026-09-10","last_verified_at":"2026-10-13T05:49:49Z","board_verified":true,"closed_at":null,"days_open":35,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":35},"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.\nKey Responsibilities\nPipeline Architecture & Data Warehouse Modelling\nDesign, build, and maintain scalable ETL/ELT batch pipelines using Alibaba Cloud DataWorks and MaxCompute.\nRapidly design and build enterprise data warehouse layers (ODS, DWD, DWS, ADS) using modular SQL/Python scripts and AI generation tools.\nDevelop and optimise data ingestion, transformation, and batch processing workflows across Lakehouse and Data Warehouse architectures (MaxCompute, Hologres, DataWorks, DTS).\nEnsure data reliability, high query performance, schema stability, and cost-effective cloud resource usage.\nAI-Accelerated Engineering & Testing\nIntegrate modern AI tools and techniques (e.g. Claude, GitHub Copilot, prompt engineering) into daily workflow to accelerate code generation, SQL refactoring, and data validation.\nApply new AI testing methodologies to rapidly write unit tests, simulate data scenarios, and audit data accuracy prior to production release.\nData Quality, Monitoring & Alerting\nImplement strict data quality rules, automated reconciliation scripts, and validation checks directly inside DataWorks jobs.\nBuild proactive alerting and monitoring workflows (integrated with Lark) to detect data drift, schema breaks, or pipeline failures before business impact occurs.\nSupport downstream analytics, BI reporting, and AI/LLM services with clean, trusted datasets.\nEnd-to-End Ownership & Collaboration\nTake full ownership of daily T-1 batch pipeline stability, job scheduling, historical backfills, and legacy issue cleanup.\nAct as a bilingual technical bridge, collaborating fluently in both English and Chinese with cross-functional technical leads, product managers, and developers.\nRequired Qualifications\n5+ years of hands-on expertise with Alibaba Cloud data services: DataWorks, MaxCompute, DTS, Hologres, FC Functions, Data Agents, and MaxCompute Lakehouse architectures.\nAdvanced proficiency in SQL and Python for data engineering, performance tuning, and database optimisation.\nProven experience modelling multi-layer enterprise data structures (ODS, DWD, DWS, ADS) and managing batch Lakehouse architectures.\nFluent in both English and Chinese, spoken and written, for seamless technical collaboration with regional teams.\nStrong sense of ownership, high velocity, proactive communication, and a \"deliver fast, iterate continuously\" attitude.\nPreferred\nActive experience leveraging AI coding assistants (Copilot, LLMs) to speed up ETL development, code reviews, and query optimisation.\nExperience building alerting and monitoring integrations with Lark or a similar collaboration 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