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Urgent! Data Engineer/Developer - Surveillance - AVP Job Opening In Hong Kong, Hong Kong – Now Hiring Jefferies

Data Engineer/Developer Surveillance AVP



Job description

Jefferies is expanding its global footprint, and this is an exciting opportunity to join a growing team in Hong Kong that is integral to the global delivery of Compliance & Regulatory solutions.

We are seeking a highly skilled Data Engineer at the AVP level with expertise in cloud-based database development, particularly using AWS, Snowflake, and Python.

The ideal candidate will have a strong foundation in Snowflake architecture, performance optimization, and Agile methodologies such as Scrum and Kanban.

Prior experience in the Financial Services industry and familiarity with financial terms and data is a strong advantage.

This role offers the opportunity to work on high-impact projects and collaborate with global teams across regions.


Key Responsibilities:

  • Design, develop, and maintain scalable data pipelines and ETL processes using cloud-native technologies.
  • Build and optimize data models and database structures to support analytics, reporting, and regulatory compliance.
  • Apply in-depth knowledge of Snowflake architecture to ensure efficient data storage, sharing, and performance tuning.
  • Collaborate with global stakeholders to understand data requirements and deliver robust solutions.
  • Implement best practices in data governance, security, and performance optimization.
  • Support migration and integration of legacy systems into modern cloud platforms (AWS/Snowflake).
  • Participate in Agile ceremonies and contribute to sprint planning, backlog grooming, and continuous delivery.
  • Required Skills & Experience:

  • Minimum years of experience in data engineering or database development.
  • Strong hands-on experience with AWS services (, S, Lambda, Glue, Redshift).
  • Deep understanding of Snowflake architecture, including schema design, performance optimization, and data sharing.
  • Proficiency in Python for data processing, automation, and scripting.
  • Solid understanding of SQL and relational database concepts.
  • Experience working in Agile environments, with familiarity in Scrum and Kanban methodologies.
  • Excellent communication skills, with the ability to engage effectively with technical and non-technical stakeholders.
  • Previous experience in the Financial Services industry and familiarity with financial terms and data is an advantage.
  • Preferred Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
  • Certifications in AWS or Snowflake are a strong advantage.
  • Exposure to big data technologies (, Spark, Kafka) is a plus.
  • Experience with CI/CD pipelines and version control tools (, Git).

  • Required Skill Profession

    Computer Occupations



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