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4 Pipeline Engineer Jobs in Hong Kong - September 2026 - High Salaries

Showing 4 jobs results for "pipeline engineer" in Hong Kong
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Data Engineer, Asia Pacific Data Engineer, Asia Pacific

Select Service Partner

Full Time

Tsim Sha Tsui

  • Monitor, troubleshoot, and optimize existing Azure Databricks workflows and legacy data jobs.
  • Resolve pipeline failures, manage data schema drift, and optimize PySpark query performance to meet strict SLAs.
  • Conduct root-cause analysis on data discrepancies and support immediate business queries. ...
Posted
11 days ago
Data Engineering Tech SME Data Engineering Tech SME

Tata Consultancy Services (TCS)

Full Time

Hong Kong

  • Experience supporting backlog execution, user stories, acceptance criteria, backlog refinement, release planning and dependency tracking.
Posted
17 days ago
Financial Data Engineer, AI-LLM Financial Data Engineer, AI-LLM

Binance

Full Time, Work from Home

WFH

Hong Kong

  • Establish data quality and service level frameworks, taking responsibility for completeness, accuracy, timeliness, consistency, and traceability; build automated reconciliation, anomaly detection, monitoring and alerting, raw data replay, backfill, and fault recovery capabilities.
  • Evaluate different sources (vendors, exchanges, APIs, file feeds, compliance collection) for coverage, quality, stability, revision mechanisms, and technical fit; collaborate with product, procurement, legal, and compliance teams to clarify usage, display, derivative, retention, and redistribution boundaries; drive rational primary/backup source strategies and alternatives.
  • Define data semantics, metric definitions, and service contracts jointly with trading product, data platform, AI engineering, and algorithm teams, ensuring consistent and reliable usage of the same stock facts across different products. ...
Posted
4 days ago
Data Engineer, Asia Pacific Data Engineer, Asia Pacific

SSP Group

Full Time

Hong Kong

  • Strong SQL skills (complex transformations, window functions, and performance tuning).
  • Solid understanding of data pipeline testing, QA methodologies, and automated data validation.
  • Familiarity with supporting BI tools such as Power BI or Sigma. ...
Posted
20 days ago

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