Associate, Full Stack Data Engineer
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Fullstack
- Posted
Skills
Must have
- Masters in quantitative fields (Computer Science, Statistics or similar)
- Minimum of 5 years’ experience of relevant data experience in data engineering / MLOps, full stack engineering in the financial sector.
- Experience in data management principles including, but not limited to data quality, metadata management, data lineage, master data management, and data governance.
- Deployment experience: Hands on experience with CI/CD, Jenkins, Ansible, DevOps process, Enterprise integration patterns.
- Experience in programming languages (Python, Java, Unix scripting etc.) and with orchestration tools like Airflow or Autosys
- Experience with cloud technologies such as EC2, EMR, Snowflake or similar tools with ability to drive design and data model discussions, hybrid data architecture.
- Proficiency in React with hands-on experience in UI development a plus.
- Hands-on with programming languages (Python, Java, Unix scripting etc.) and with orchestration tools like Airflow or Autosys
- Building physical data models and ETL processes to ensure data quality, integrity, and accessibility.
- Microservices Development: Building and maintaining highly scalable and fault tolerant microservice, including efficient server-side APIs.
- Ability to understand and integrate cultural differences and work effectively with virtual cross-cultural, cross-border teams
- Flexibility to adjust to multiple demands, shifting priorities, ambiguity, and rapid change.
- Experience with senior stakeholder management will be an added advantage.
- Excellent communication (verbal, written, listening), presentation, and interpersonal skills.
- Able to analyze complex situations and derive workable actions.
- Able to constructively challenge requirements and current state to increase overall value to the firm.
Full description
Job Title: Full Stack Data Engineer
Corporate Title: Associate
Division: Group Technology (Chief Data Office)
Location: Singapore
SFID: 14526
Licensed Role: No
Nomura Overview
Nomura is a financial services group with an integrated global network. By connecting markets East & West, we service the needs of individuals, institutions, corporates and governments through our four business divisions: Wealth Management, Investment Management, Wholesale (Global Markets and Investment Banking) and Banking.
Driven by the insights of some 28,000 people worldwide, we put our clients at the center of everything we do, delivering unparalleled access to, from and within Asia. For further information about Nomura, visit
Department Overview
The Chief Data Office plays a key role in defining and implementing the firm's data, cloud and AI strategy, driving change through these capabilities, enforcing data, cloud and AI governance for the firm, and elevating Nomura's data culture. Governance remains a critical focus area, and the Chief Data Office, in partnership with Business and Corporate functions, is responsible for ensuring that the firm's data assets are managed in line with the firm's data management framework, policy and standards.
Role Description
The Full Stack Data Engineer will be required to develop scalable, secure, and high-quality data engineering, AI/ML Ops, and data platform solutions aligned with business objectives and timelines. Design maintainable data architectures, pipelines, and technical solutions adhering to enterprise standards.
Responsibilities
- Solution Delivery: Design scalable, secure and maintainable data architectures, pipelines, and technical solutions aligned with enterprise standards and business requirements.
- Solution Design: Drive the operationalize of AI/ML solutions while implementation best practices for data quality, governance, metadata, lineage and platform reliability.
- AL/ML Ops & Data Management: Drive the operationalize of AI/ML solutions while implementation best practices for data quality, governance, metadata, lineage and platform reliability.
- Trusted Partner: Shape the information & analytics agenda at Nomura and work with all of Nomura’s businesses in laying out their information & analytics adoption roadmaps.
- Risk Mindset: Familiar with risk and controls frameworks and ability to operate with a control mindset