Data Engineering Jobs in Hong Kong SAR China
There are 221 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 44%
- 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 56
- 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
Senior Distributed Market Data Engineer (Cloud-Native)
Builds cloud-native, globally distributed systems to ingest and process real-time financial market tick data for quantitative research.
M/SM - Data Engineering & AI - 90k
Build and maintain cloud-based data platforms and analytics solutions, ensuring data governance and driving data-driven decisions for enterprise initiatives.
Data Engineer
Builds and maintains data pipelines for financial datasets, focusing on Chinese stock market data and Wind data to support AI-driven equity research.
Data Engineer
Build and maintain scalable ETL/ELT pipelines for financial data, optimize data warehouses, and use AI coding tools to accelerate development while ensuring accuracy.
Data Engineer: Pipelines, Crawling & Cloud
Builds and maintains data pipelines and cloud infrastructure to feed analytics and data science teams, using Python, SQL, and AWS.
Data Engineer - Systematic Data Group
Build and maintain systematic option data platforms for a hedge fund, collaborating with quants to deliver real-time pricing and reference data for trading decisions.
Quantitative Data Engineer for Systematic Investing
Builds and maintains a data platform for financial market data used in quantitative investing, backtesting, and trading signals.
AI‑Augmented FinTech Data Engineer — Real‑Time Pipelines
Builds and maintains scalable ETL/ELT pipelines and real-time event systems for a fintech company, using Python/Typescript and SQL while leveraging AI tools to boost development efficiency.
Data Engineer
Build and optimize data pipelines using Databricks, SQL, and cloud platforms to support analytics and decision-making in a collaborative environment.
Data Analyst /Data Engineer /Data Architect - Wealth Management
Design and build cloud-based data pipelines (ETL/ELT) using Azure Data Factory and Databricks to support analytics and reporting for a leading APAC securities firm.
Data Engineer
Build and maintain Bowtie’s data warehouse, ELT pipelines, and BI dashboards to power insurance analytics and regulatory reporting, while laying the groundwork for predictive analytics and AI integrations.
Synthetic Data Engineer for AI Training Pipelines
Designs and builds synthetic data pipelines for AI training, focusing on prompt engineering, dataset distillation, and bias mitigation to improve model performance.
Data Engineer
Build and own a full-stack data platform for a global dry-bulk shipping company, integrating Python/SQL services with Azure, Microsoft Fabric, and external data to power commercial and operational decisions.
Risk Data Engineer: Build Data Pipelines & Analytics
Builds and maintains data pipelines and analytics for risk management at a major financial exchange.
Risk Data Engineer - Build Data Pipelines & Insights
Builds and maintains data pipelines for risk analytics on HKEX’s Big Data platform, using SQL, Python, and ETL to enable self-service BI for post-trade and operational risk.
AI Data Engineer (REF: SDA)
Build AI/ML models to optimize water and wastewater treatment, using predictive analytics and digital twins to improve efficiency and maintenance.
Fintech Data Engineer: AI-Driven ETL & RealTime Pipelines
Build and maintain scalable ETL/ELT pipelines for financial datasets, ensuring data integrity and enabling real-time analytics in a fintech environment.