Data Engineer
Temus
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Description
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 and Qlik Sense expertise
- Exposure within the Financial Services industry will be an added advantage
- 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/
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About Temus
Temus is a digital transformation company headquartered in Singapore, driving transformation across the public and private sector with sophisticated digital capabilities in strategy, design, architecture, technology, and data.