Associate, Full Stack Data Engineer

United States Digital Space LLC; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

the company in Singapore is seeking a Full Stack Data Engineer to design scalable data architectures and AI/ML Ops solutions. You will develop data pipelines, ensure governance, and collaborate with cross-border teams to align analytics with business objectives.

Role requires 5+ years in data engineering and full-stack work within financial services, plus strong Python/Java and cloud experience. Expect a hybrid but primarily on-site setup with robust CI/CD practices.

Qualifications

• Masters in quantitative fields (Computer Science, Statistics or similar).
• Minimum of 5 years’ experience in data engineering / MLOps, full stack engineering in financial sector.
• Experience in data management principles including data quality, metadata management, data lineage, master data management, and data governance.
• Deployment experience with CI/CD, Jenkins, Ansible, DevOps processes.
• Programming in Python, Java, Unix scripting; orchestration tools like Airflow or Autosys.
• Experience with cloud technologies such as EC2, EMR, Snowflake or similar; hybrid data architecture.
• Proficiency in React; UI development a plus.
• Building physical data models and ETL processes for data quality and accessibility.
• Experience in microservices development and scalable APIs.
• Ability to work with cross-cultural, virtual teams.

Responsibilities

• Design scalable, secure data architectures and pipelines aligned with business needs.
• Operationalize AI/ML solutions with data governance, metadata, and lineage.
• Drive AI/ML Ops initiatives and ensure platform reliability.
• Shape information and analytics strategies across the company and partner with businesses.
• Maintain risk awareness and control mindset in delivery.

Skills

Python

Java

Unix scripting

Airflow

Autosys

CI/CD

Jenkins

Ansible

DevOps

Cloud

Education

Masters in Computer Science or Statistics

Tools

React

Job description

Job Code: 14526Country: SGCity: SingaporeSkill Category: IT\\TechnologyDescription: Job Title: Full Stack Data EngineerCorporate Title: AssociateDivision: Group Technology (Chief Data Office)Location: SingaporeSFID: 14526Licensed Role: No

the company Overview

the company 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 the company, visit www.the company.com

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 the company'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 the company and work with all of the company’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

Requirements

• 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.

the company Competencies

• Explore Insights & Vision: Identify the underlying causes of problems faced by you or your team and define a clear vision and direction for the future.
• Making Strategic Decisions: Evaluate all the options for resolving the problems and effectively prioritize actions or recommendations.
• Inspire Entrepreneurship in People: Inspire team members through effective communication of ideas and motivate them to actively enhance productivity.
• Elevate Organizational Capability: Engage proactively in professional development and enhance team productivity through the promotion of knowledge sharing.
• Inclusion: Respect DEI, foster a culture of psychological safety in the workplace and cultivate a "Risk Culture" (Challenge, Escalate and Respect).

Diversity Statement

the company is committed to an employment policy of equal opportunities, and is fundamentally opposed to any less favourable treatment accorded to existing or potential members of staff on the grounds of race, creed, colour, nationality, disability, marital status, pregnancy, gender or sexual orientation.

DISCLAIMER:

This Job Description is for reference only, and whilst this is intended to be an accurate reflection of the current job, it is not necessarily an exhaustive list of all responsibilities, duties, skills, efforts, requirements or working conditions associated with the job. The management reserves the right to revise the job and may, at his or her discretion, assign or reassign duties and responsibilities to this job at any time.

*the company is an Equal Opportunity Employer*