We operate one of the world's leading and most extensively accepted contactless smartcard payment systems, providing both offline and online payment services. There are over 160,000 acceptance points for Octopus cards in Hong Kong, spanning across the city. We have over 30 million Octopus cards and products in circulation. We handle 15 million transactions a day with transaction value of HK$260 million. Our Vision To become the most preferred payment and lifestyle companion that connects customers and business partners through our best-in-class products and services. Our Mission Making everyday life easier. Our Values Customer Centricity, Simplicity, Inclusiveness & Trustworthiness. Our people are our most important asset. We respect each other, embrace collaboration, innovation and partnership. Come join us and make an impact to the future payment society!
Job Responsibilities:
- Collaborate with business users/ data team to facilitate data consumption and automation
- Orchestrate, monitor and optimize data/ ETL processes on Azure
- Design data model, implement data pipeline/ query/ dashboard
- Implement data governance processes on data quality, integrity, documentation
- Proactively enhance data infrastructure/ processes with best practices and latest technologies
Requirements:
- Degree holder in Information Engineering/ Mathematics/ Computer Science or related discipline
- Minimum 5 years of solid experience in designing and managing end-to-end big-data data processes
- Expert in Python (spark/ pandas), delta & parquet, SQL
- Hands on experience in Azure data services including Synapse DW, Data Factory, Data Lake and Databricks
- Experience in the following would be an advantage:
- Machine Learning
- Power BI/ other Business Intelligence tools
- Microsoft Fabric, Synapse Serverless, Unity Catalog (Databricks), Lakehouse
- Strong problem-solving skills, agile, fast learner
- Passion in learning and applying state-of-the-art data engineering technology
- Proficient in written and spoken English and Chinese with strong communication skills
- Candidate with less experience will be considered as Senior Data Engineer
We offer successful candidate an attractive remuneration package and excellent career prospects. Interested parties please send your resume, present and expected salary, contact details and quoting the reference number by clicking "Apply Now"
Visit our web site: http://www.octopus.com.hk/
The personal data collected will be used for recruitment purposes only. If you are not contacted by us within six weeks, you may consider your application unsuccessful. Personal data with an unsuccessful applicant will be destroyed 12 months after rejection of the application. During this retention period, you have the right to request for correction or destruction of your personal data at any time. Any request for the correction or destruction of personal data should be addressed in writing to our Human Resources & Administration Department.
Octopus is an equal opportunity employer and all employment decisions and Human Resources policies are administered; especially those relating to recruitment & selection, compensation & benefits, promotion & transfer, training & development and termination & redundancy; without discrimination on the basis of age, race, colour, religion, sex, national origin, marital status, pregnancy, physical and mental disability and family status but on genuine occupational qualification, job performance, employees ability and internal/ external relativities.
