Data Engineer (Capital Markets / FinTech) 75k

Michael Page (Hong Kong); Hong Kong; Vor Ort; HKD 900.000 - 1.500.000; Teilzeit

Benefits dieser Stelle

Competitive salary

Zusammenfassung

Michael Page International (Hong Kong) Limited is partnered with a professional, data‑driven organization seeking an experienced Data Engineer to design scalable ETL workflows in real‑time and batch contexts using Java and Python. The role focuses on data cleansing, governance, modelling, and secure cloud deployments across heterogeneous database systems, including NoSQL.

The successful candidate will collaborate with business stakeholders, translate requirements into robust data structures, and

Qualifikationen

• Bachelor's degree in IT/CS or related discipline.
• Minimum 7 years of software development and data engineering in capital markets or fintech.
• Strong Java and Python skills with data modelling experience.
• Experience with enterprise databases (Oracle, PostgreSQL, NoSQL).

Aufgaben

• Design and develop scalable ETL workflows for real-time and batch data processing using Java and Python.
• Standardize, validate, and cleanse data from multiple systems and automate data quality monitoring.
• Manage data transfers and schema evolution across relational, NoSQL, and object-oriented databases.
• Develop and maintain data models and documentation for transactional and analytical platforms.
• Deliver cloud-based data solutions and ingestion of distributed ledger data in secure environments.
• Lead collaboration forums, gather stakeholder requirements, and translate needs into data structures.

Kenntnisse

Java

Python

Data modelling

Cloud experience

Communication skills

English fluency

Ausbildung

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

Tools

Oracle

PostgreSQL

GaussDB

OceanBase

NoSQL

Jobbeschreibung

About Our Client

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.

Job 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.

The Successful Applicant

• 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.

What's on Offer

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