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Data Engineer - Large Financial Institution

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We are seeking a hands-on data engineer with strong background in building data solutions & data analytics platform

Key Responsibilities

  • Design and Build Scalable Data Pipelines:
    Develop distributed, high-performance data pipelines to process large volumes of structured and unstructured data in batch and near-real-time environments.

  • Enrich and Transform Data:
    Enhance and transform corporate data to support searchability, visualization, and advanced analytics within a Continuous Delivery framework.

  • Task Coordination & Management:
    Support DE CoE leadership by managing and coordinating tasks for the offshore DE CoE team. This includes clarifying requirements, defining data models, and creating data dictionaries.

  • Cross-Team Collaboration:
    Work closely with business units, enablement teams, data platform engineers, and upstream/downstream system stakeholders to ensure alignment and timely delivery of high-quality solutions.

  • Performance Optimization:
    Assist in tracking the DE CoE’s performance metrics and contribute to continuous improvement by automating workflows and promoting best practices and standardization.

Qualifications and Requirements

We’re looking for candidates with 3+ years of experience in data pipeline development, ideally within the financial services sector. Additional qualifications include:

  • Strong analytical mindset with a data-driven approach
  • Previous experience in a DE CoE environment is a plus
  • Excellent communication skills; experience working in international teams
  • Proven experience in large-scale data processing and validation
  • Proficiency in programming languages such as Java, Scala, Python, or SQL
  • Familiarity with Data Lake frameworks like Apache Hudi, Iceberg, or Delta Lake
  • Experience with data processing tools like Apache Spark and Airflow
  • Understanding of Agile development, CI/CD practices, and change management
  • Knowledge of data security practices such as encryption and anonymization
  • Sharp business acumen with strong attention to detail and accuracy

Contract Type: Temp

Specialism: Tech & Transformation

Focus: Business Intelligence, AI, Data Analytics & Data Science

Industry: Financial Services

Salary: HKD40,000 - HKD70,000 per annum

Workplace Type: Hybrid

Experience Level: Associate

Location: Hong Kong

Job Reference: 3B6NKB-A11A7BA0

Date posted: 2 July 2025

Consultant: Jennie Jiang