Temus

Digital transformation for public and enterprise

Data Engineer

Data EngineeringConfirmed live in the last 24 hours

Full-timeVietnamNo salary listedIn-person

About the Job

Requirements

Expertise in Snowflake, Databricks, and Qlik Sense.
Strong experience with cloud data services (AWS, Azure, or GCP), including migration strategies and optimization.
Experience with CI/CD and version control practices.
Relevant work experience with large language models.
Knowledge of agentic artificial intelligence.
Exposure to enterprise generative artificial intelligence projects.
A proven track record in data engineering fundamentals.
A strong focus on code quality and system reliability.
Expertise in data modelling and warehouse design.

Responsibilities

Collaborate within a cross-functional team to gather requirements, ensure seamless data flows, and deliver data and artificial intelligence solutions.
Work with Snowflake artificial intelligence and machine learning technologies to build and transform financial data workflows and user experiences.
Deploy and maintain data quality practices to ensure product integrity and consistency.
Integrate artificial intelligence products to create intelligent data solutions that enhance user experience.
Receive mentorship from a manager to support professional growth.

Desired Qualifications

Exposure to the financial services industry is an added advantage.

Temus is a Temasek-backed consulting firm providing digital transformation solutions for the private and public sectors. We aspire to be a strategic partner in realising the Singapore Government’s Smart Nation vision. We are headquartered in Singapore and have more than 400 employees across a wide range of disciplines in strategy, design, architecture, technology, data & AI.

Responsibilities:

Collaborate within a cross-functional team to gather requirements, ensure seamless data flows, and deliver impactful Data and AI solutions
Work with Snowflake AI and ML technologies to build and transform financial data workflow and user experiences
Deploy and maintain data quality practices ensuring products integrity and consistency
Integrate AI products to create intelligent data solutions that enhance user experience
Receive mentorship from your manager to foster your professional growth

Requirements:

Snowflake, Databricks and Qlik Sense expertise
Exposure within the Financial Services industry will be an added advantage
Strong experience with cloud data services (AWS, Azure, GCP) including migration strategies and optimization
CI/CD and version control practices
Relevant work experience with LLMs
Knowledge of Agentic AI
Exposure to work in enterprise GenAI project
Proven track record in data engineering fundamentals
Strong focus on code quality and system reliability
Data modelling and warehouse design expertise

Temus is an equal opportunities employer. We welcome applications from all. We do not discriminate by race, religion, belief, ethnicity, origin, disability, age, partnership status, sexual orientation, or gender identity.

We see the diversity of our team as a strategic advantage, and we work actively to maintain it.

By applying for this role, you have read and acknowledge the data privacy statement via this link - temus.com/job-applicant-data-protection/

About the Company

Temus

Digital transformation for public and enterprise

Temus delivers digital transformation services for public-sector organisations and private enterprises by combining strategy, service and product design, agile delivery, low-code development, cloud engineering, data and artificial intelligence. It works across mission-critical domains such as healthcare and defence, building tailored digital platforms and applications. The company emphasizes involving users, customers, citizens and employees in the design of practical technology solutions and uses an end-to-end approach from strategy to delivery. Temus differentiates itself by its strong focus on human-centered, cross-domain delivery within public sector and enterprise contexts, and by operating as part of a broader digital transformation ecosystem anchored in Singapore. The goal is to help organisations modernise operations, improve services, and enable impactful public and enterprise outcomes through practical technology solutions.

Company size: 201-500
Company stage: Not listed
Total funding: Not listed
Headquarters: Singapore, Singapore
Founded: 2021

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