Data Engineer (Capital Markets / FinTech) 75k

Michael Page International (HK) Ltd; Hong Kong Island; On-site; HKD 70,000 - 80,000; Full time

Benefits offered by this job

Temporary role with opportunities to…

Job summary

Michael Page International (HK) Ltd in Hong Kong is seeking a Data Engineer (Capital Markets / FinTech) to design and build enterprise-grade data platforms, ETL pipelines, and cloud-based solutions for data management and analytics.

The role requires strong Java and Python skills, hands-on data modelling, and experience with relational and NoSQL databases, cloud environments, and distributed ledger data ingestion.

Qualifications

• 7+ years of software development and data engineering in capital markets or fintech.
• Strong Java and Python skills with experience in data modelling and technical documentation.
• Experience with Oracle, PostgreSQL, GaussDB, OceanBase or NoSQL databases.
• Experience in both public and private cloud environments.
• Excellent communication skills; fluent English plus Cantonese or Mandarin.

Responsibilities

• Design and develop scalable ETL workflows for real-time and batch data processing in Java and Python.
• Standardize, validate, and cleanse data; automate data quality monitoring.
• Manage data transfers and schema evolution across relational, NoSQL, and OO databases.
• Develop and maintain data models and comprehensive data documentation.
• Deliver cloud-based data solutions and ingest/structure distributed ledger data.
• Lead collaboration forums, gather requirements from stakeholders, translate needs into data structures, and provide advanced analytics support.
• Establish data security, access governance, and ongoing data quality monitoring frameworks.

Skills

Java

Python

Data engineering

ETL

Cloud computing

Data modeling

Data governance

Communication

Education

Bachelor's degree or above in Information Technology, Computer Engineering, or related discipline

Tools

Oracle

PostgreSQL

GaussDB

OceanBase

NoSQL databases

Object-oriented databases

Job description

Data Engineer (Capital Markets / FinTech) 75k

This role focuses on building and maintaining enterprise-grade data platforms, ETL pipelines, and cloud-based data solutions. The ideal candidate brings strong Java/Python expertise, extensive data engineering experience, and knowledge of financial market operations.

Our client is a professional organization operating in a data-intensive and technology-driven environment. The team focuses on enterprise data management, platform development, integration, governance, and analytical enablement across complex business functions.

Description

• Design and develop scalable ETL workflows for both real-time and batch data processing using enterprise integration platforms, while building high-performance production applications in Java and Python.
• Standardize, validate, and cleanse data originating from multiple systems, and create automated processes to enforce and monitor data quality.
• Manage data transfers and schema evolution across a broad database landscape, including relational, object-oriented, and NoSQL technologies.
• Develop and maintain conceptual, logical, and physical data models for transactional and analytical platforms, supported by comprehensive data documentation.
• Deliver robust cloud-based data solutions and implement the ingestion, transformation, and structuring of distributed ledger data within secure environments.
• Lead collaboration forums focused on data initiatives, gather requirements from business stakeholders, translate operational needs into data structures, and provide advanced technical support to analytics functions.
• Establish and maintain frameworks covering data security, access governance, and ongoing data quality monitoring.

Profile

• Bachelor's degree or above in Information Technology, Computer Engineering, or a related discipline.
• Minimum 7 years of software development and data engineering experience within capital markets, financial technology, or closely related financial environments, with strong understanding of the end-to-end trade lifecycle.
• Strong hands-on expertise in both Java and Python, together with proven experience in data modelling methodologies and technical documentation.
• Practical experience working with enterprise databases such as Oracle, PostgreSQL, GaussDB, OceanBase, NoSQL platforms, or object-oriented database systems.
• Experience working within both public cloud and private cloud environments.
• Strong communication skills with the ability to engage business users for requirements analysis and reporting activities.
• Fluency in English and either Cantonese or Mandarin.

Job Offer

• Temporary role with opportunities to contribute to impactful data projects.