Data Engineer jobs in Hong Kong

You will participate in developing and maintaining the platform allow us to manage the risk in managing existing buildings to be more accessible. The platform will allow us to monitor the risk with data analysis on a simple, customizable dashboard.

• Large-scale Properties Group
• Build data lake and develop ETL pipeline
• Cloud data platform (AWS, Azure)

You will implement data platform architecture including big data, NoSQL and AI, and applications for providing data services to other systems and business users.

You will participate in a Digital Transformation Project for a Leading Financial Institution in Hong Kong - to understand and analyze requirements and existing business practices/ business process flows, improve and optimize them according to today's technology and translate them for project development/execution.

• The large sustainable listed company
• Build end-to-end data pipelines
• Design data platform applications
• Data management and data warehousing

• Data team expansion
• 3-4 years' experience in data

• Fast-growing commercial firm
• Sustainable revenue from Online & Offline
• Massive data volume
• From scratch data transformation project (on prem to cloud)
• Build data lakes and perform data integration across multiple systems
• Relocate Oracle Cloud to AWS & Azure
• Exposure to Data Science, AI and Machine Learning in long run

• Large property firm
• Focus on investment stream
• Handling web scraping and developing data pipelines
• NLP/ Machine Learning/ Deep Learning algorithms
• Crawling, extracting, and processing data
• Keras, Tensor flow, Caffe, or PyTorch

Our client, a top tier and highly influencial financial firm is looking for a skilled Data Engineer. The candidate must have at least 4 years of data engineering experience and be strong in Python development to handle regular or ad-hoc data requests from different business teams. Additionally, they must be able to develop and implement end-to-end data pipelines from data collection, ETL, analysis, reporting to visualization, including dashboard building.

• Large-scale retail enterprise
• Design and develop machine learning solutions
• Analysis of business problems by algorithms and ML models

Our client is currently looking for seasoned data science engineer with machine learning optimisation experience to optimize core Python libraries, develop automated recovery mechanisms, and monitor cloud infrastructure.

Handle regular or ad-hoc data requests from different business teams, develop and implement end-to-end data pipeline from collection, ETL, analysis, reporting to visualisation including dashboard building & data modelling

You will participate in the development project of data visualisation for Network/ Customer Performance Monitoring System

Responsible for data quality assurance activities for core and data warehouse, ETL applications testing;

• You will be given the chance to develop Data lake, Data Warehouse, and Analytics Solutions including integration with complex business platforms.

Due to expansion in APAC region, they are hiring a Data Engineering to support their data initiatives on cloud platform.

The global trading firm is looking for an experienced Software Engineer to work on exciting Big Data projects. He/she will work on tasks e.g. valuation engine which processes trade data, market data from the front office systems, process streamline and optimization, new business requirements, and cloud migration.