Business Function As the leading bank in Asia, Transformation and Data (T&D) supports our management on the implementation of the Group's agenda. Data Chapter, organized under T&D, is committed to create synergies between the data analytics functions across the bank, establish centres of excellence, shared services, and reusable data assets, as well as enhance career opportunities and the sense of community for data professionals.
What We Offer You At DBS, we empower our data specialists with the autonomy to solve business problems using data. The Data Chapter here is to promote collaboration through cross-functional squads to release the value of our work throughout the organization, embedding our work inside business processes. Here, data specialists design the career development paths, including free access to top learning platforms like DataCamp and Coursera. We offer a cutting-edge technology environment with opportunities to work on general business analytics and AI/ML. Our Advanced Analytics platform leverages GenAI-assisted coding tools, Python, PySpark, Qlik Sense, and more. Most importantly, we have a vision to extract ever increasing value from our data and be accountable for it.
Responsibilities - Work with a team of professional specialists to design and implement data and analytics infrastructure solutions (data platform, business data layers) for HK Data Chapter, supporting strategic priorities across consumer banking, private banking, and institutional banking.
- Support the governance, improvement and enhancement of data models on analytics platforms, ensuring data quality, integrity, and the availability of reusable assets.
- Uncover new sources of structured and unstructured data through stakeholder engagement as well as new technology initiatives. Bring them into the architecture using sustainable methodologies.
- Support platform migration and upgrade projects to ensure the minimal business disruption.
- Monitor and troubleshoot issues within the CI/CD pipelines, ensure security and compliance standards are met within the CI/CD processes.
- Assist in Flux job preparation for historical data copy and providing guidance on data profiling and access to the production environment.
- Be a Subject Matter Expert (SME) in data ana analytics tools to support the increasing demands from business and other analytics/data science teams.
- Collaborate with technology team and Data Chapter team to improve deployment processes.
Requirements - Degree or above in computer science, data science, engineering, mathematics, statistics, or related disciplines, with a minimum of 5 years of working experience in data platform, data engineering and architectural design
- Proficiency in PySpark, SQL, and data modeling with experience in data visualization (e.g., Qlik/Tableau/PowerBI, etc.) and familiarity with cloud data services, data architecture concepts and code optimization.
- Strong understanding of data and analytics in complex business environments; financial services experience preferred.
- Knowledge of understanding of CI/CD concepts and software development best practices and tools (Agile, TDD, Jira, Jenkins, Git).
- Be proactive, adept at problem-solving, adapt to changing environment and possess exceptional attention to detail
Apply Now We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.
We regret only shortlisted candidates will be notified.