Requisition ID: 2240

Data Engineer

Job Summary

The job holder is responsible for driving insights and optimising business outcomes across the organization. The job holder focuses on building machine learning models, and creating data pipelines to facilitate improved data services for stakeholders. Key functions include collaborating on strategic projects to ensuring that data analytics supports the club's and implement effective risk management frameworks .

The Job

You will

Data and Machine Learning Engineering
- Implement the best practice of data and machine learning engineering into the division
- Assist with the implementation of data pipelines within the Division with regard to suitable hardware and infrastructure;
- Oversee and manage the workflow of data quality management, data cleansing and data exchanges processes
Build and Manage Products
- Work with data scientists to build data pipelines, model training pipelines to ensure reproducibility & robustness
- Assist in the development of a centralized data warehouse for different data usages
- Assist in the development of data ingestion and data transformation architecture
- Ensure the data within the Division is accurate, consistent and on-time
Workflow improvement
- Assist in the deployment of data science solutions in the Division
- Design and implement rules and procedures for data management within the Division
- Drive the standard patterns for data engineering and data management within the Division.
General Tasks
- Ensures compliance with Responsible Gambling Policy (RGP) and all stipulated legal requirements pertaining to wagering, thereby protecting the integrity of the Club’s business
- Undertakes other duties as assigned by Line Manager

About You

You should have

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. A Master's degree or higher in a quantitative discipline is preferred.
Solid experience in relational databases (SQL Server), as well as working familiarity with a variety of databases
Solid experience in object-oriented programming (C#, Java, C++), as well as other scripting languages (Python, Matlab,R, VBA)
Knowledge of Big Data and associated techniques and methodologies to underpin applications of Machine Learning and AI.
Knowledge in DevOps tools is an advantage
Strong computational background, with significant production-level programming and scripting experience.
Solid experience on Data Management or Data Engineering.

Terms of Employment

The level of appointment will be commensurate with qualification and experience.

How to Apply

Please send your resume, complete with expected salary and job reference by clicking the Apply Now.

We are an equal opportunity employer. Personal data provided by job applicants will be used strictly in accordance with the Club's notice to employees and prospective employees relating to the Personal Data (Privacy) Ordinance. A copy of which will be provided immediately upon request.