Vice President, Data Office

China CITIC Bank International Limited

Hong Kong

On-site

HKD 1,200,000 - 1,800,000

Full time

14 days+

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Job summary

China CITIC Bank International Limited is seeking an experienced data engineering leader to architect and drive the enterprise data platform revamp. You will oversee the migration from Oracle Data Warehouse to modern MPP databases, shaping governance and leading code reviews across the team.

The role focuses on real-time and batch data pipelines, leveraging Spark/Java/Python, aligning with regulatory and auditing requirements in a banking environment.

Qualifications

  • 10+ years of experience in big data engineering, data platform architecture, and enterprise software delivery.
  • 3+ years in a technical leadership or engineering management role within banking, financial services, or a regulated environment.
  • Proficiency in Python or Java for data engineering and pipeline development.

Responsibilities

  • Architect, design, and lead the technical execution of the enterprise data platform revamp.
  • Drive the legacy migration strategy from Oracle Data Warehouse to an MPP database.
  • Lead governance, code reviews, and design decisions across the data engineering team.

Skills

Big data engineering
Data platform architecture
Enterprise software delivery
Python/Java
Leadership

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

Cognos
Tableau
MS Access

Job description

  • Architect, design, and lead the technical execution of the enterprise data platform revamp.
  • Drive the legacy migration strategy from Oracle Data Warehouse (PL/SQL, stored procedures, data models) to MPP database.
  • Lead technical governance, code reviews, and design decisions across the data engineering team.
Streaming & Ingestion Engineering
  • Modernize real-time data ingestion pipelines using Apache Kafka and Apache Flink.
  • Ensure low-latency data availability for operational reporting, fraud detection, and real-time banking analytics.
DataOps, Quality & Governance Infrastructure
  • Introduce DataOps practices across the data team, building automated CI/CD deployment pipelines, version-controlled transformations and Infrastructure as Code.
  • Design and embed automated Data Quality validation engines directly into data pipelines to detect anomalies prior to business downstream ingestion.
  • Integrate data cataloging, lineage tracking, and metadata management tools into the engineering lifecycle to meet regulatory and auditing requirements.
Data Service Portal & BI Modernization
  • Oversee the delivery of a self-service User Data Portal, enabling business units to discover, request, and consume data via governed APIs.
  • Lead the migration of legacy reporting tools (Cognos, Tableau, MS Access).
Requirements
  • Bachelor’s or Master’s Degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related quantitative field
  • 10+ years of experience in big data engineering, data platform architecture, and enterprise software delivery.
  • 3+ years in a technical leadership or engineering management role within banking, financial services, or a highly regulated corporate environment.
  • Proven track record of delivering major enterprise data platform revamp.
  • Proficiency in Pythons or Java for data engineering and pipeline development
  • Relevant industry certifications (e.g. Cloudera, Huawei Cloud, Big Data / Architect certifications) are a plus

Personal data collected will be used for recruitment related purposes only. Applicants not invited for interview within 6 weeks may consider their applications unsuccessful. However, applicants may be considered for other suitable positions within the Group for a period of not more than 2 years. Personal data will be destroyed at any time after 3 months.

China CITIC Bank International is committed to being an equal opportunities employer and intends to provide a work environment free of unlawful discrimination or harassment. All employment decisions will be made in a non-discriminatory manner.

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