Data Engineering Jobs in Hong Kong SAR China
There are 222 open Data Engineering jobs in Hong Kong SAR China on freehire right now. 76 of them were posted recently. The skills employers ask for most often are sql, python and data-pipelines.
Most requested skills
- sql 57%
- python 51%
- data-pipelines 48%
- analytics 45%
- data-engineering 44%
- data-quality 42%
- etl 41%
- cloud 38%
How the work is done
- Onsite 3 · 1%
- Remote 3 · 1%
- Hybrid 2 · 1%
Visa sponsorship offered in 75% of the 4 postings that state a position on it.
Seniority
- Senior 57
- Lead 20
- Staff 7
- C-level 4
- Intern 4
- Junior 1
Who is hiring
- 1000+ employees 28
- 501-1000 employees 9
- 11-50 employees 2
Data Engineering Lead: Spark on AWS EMR & MLOps
The Data Engineering Lead will manage a team to design and deliver scalable data pipelines using Spark on AWS EMR. The role focuses on architecture, governance, and mentoring engineers to build secure batch and streaming data solutions.
Trading Tools & Data Engineering Specialist
This role involves building scalable trading and research tools to support strategy orchestration, risk modeling, and data analysis. The engineer will work directly with traders and researchers using a diverse stack including Python, Java, React, and SQL.
Senior Data Engineer: ETL, BI & Data Warehousing Expert
The Senior Data Engineer will troubleshoot and enhance BI and data warehouse workflows while designing scalable ETL processes. The role involves collaborating with cross-functional teams to ensure high data quality and effective data modeling.
Data Engineering Lead / Senior Data Engineer (AWS EMR)
This role involves leading a data engineering team to design and optimize Spark on AWS EMR pipelines for batch and streaming data. The position requires hands-on technical leadership, MLOps support, and the ability to build service components using React and Node.js.
Data Engineer
The Data Engineer will design, develop, and maintain ETL pipelines and stored procedures to support banking applications and regulatory reporting. The role requires at least 5 years of experience in ETL development and a strong background in SQL within the financial services sector.
Data Engineer: Scalable Retail Data Pipelines on GCP
The Data Engineer will design, build, and maintain scalable data pipelines and cloud-based platforms on GCP to support retail business intelligence and analytics.
Data Engineer for GenAI & RAG on Modern Platforms
This role involves designing and building scalable data infrastructure and ETL pipelines to support analytics and GenAI/RAG applications for a business services client.
Data Platform Engineer (Automation)
Data Platform Engineer supporting automated data pipelines, large-scale testing data validation for risk/reporting, and BI platform assistance — using Python, SQL, and Tableau in a public-sector data transformation programme.
Data Engineer - AI 30-35K
The Data Engineer will design and maintain end-to-end data pipelines, infrastructure, and RAG solutions to support AI and analytics initiatives. The role involves working with structured, unstructured, and vector data within a large-scale corporate environment.
Data Engineer
The Data Engineer will develop and maintain scalable data pipelines and data warehouse solutions to support business analytics and data quality. The role involves working with technologies like Python, SQL, Kafka, Spark, and various cloud-based data warehouse platforms.
Data Engineer
The Data Engineer will design and maintain OCR-based ingestion and ETL pipelines to support an AI-driven candidate matching platform. The role involves working with vector embeddings, LLMs, and AWS cloud infrastructure to process and analyze CV and job description data.
Data Engineer
Build and maintain data pipelines using Python and SQL to collect, clean, and transform data from various sources, supporting logistics and supply chain R&D with structured datasets for analytics and ML applications.
Data Engineer
The Data Engineer will develop machine learning models for water leakage detection and maintain data pipelines within an R&D team. The role involves working with Python, SQL, NoSQL, and Linux environments to integrate sensor data and troubleshoot quality issues.
Senior Data Engineer - Banking ETL & Data Pipelines
The Senior Data Engineer will design, build, and maintain ETL pipelines for banking regulatory reporting, focusing on SQL-based stored procedure development and data quality. The role involves collaborating with cross-functional teams to optimize data processes.
Senior Regulatory Data Engineer
Senior data warehouse/BI engineer leading end-to-end development of regulatory report applications, focused on data modeling, ETL/ELT pipelines, and data processing workflows within a major banking environment.