- Location
- Vietnam
- Type
- Contract
- Department
- Data Engineering
- Experience
- 3+ years
- Source
- Greenhouse
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.
Your Role
- Harness your expertise in data engineering and cloud infrastructure to design, build, and maintain scalable data platforms on Google Cloud Platform (GCP) for clients.
- Based in Vietnam, working closely with our regional and Singapore-based teams to deliver impactful data solutions.
- Make an outstanding contribution to a world-class AI and data team.
- Develop and maintain relationships with a broad range of clients, colleagues, and partners across a variety of contexts and formats.
- Invest continuously in building and extending your knowledge and skills.
Your Background
- At least 3–7 years of relevant working experience in data engineering, software engineering, or a related technical field.
- Proven track record in data engineering fundamentals: Python, SQL, ETL/ELT pipeline design, data modeling, and data integration.
- Hands-on experience with Google Cloud Platform (GCP), including data services (BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Dataplex) and infrastructure/deployment (Cloud Functions, Cloud Run, GKE, Cloud IAM).
- At least 3 years of implementation experience with serverless computing, CI/CD, containerisation, Infrastructure as Code, code version control and automated testing.
- Experience working with transactional databases (e.g., PostgreSQL, MySQL, SQL Server).
- Familiarity with AI/ML concepts and ability to support data pipelines for ML workloads (e.g., Vertex AI).
- Pro-active, curious personality with a strong desire to learn and grow.
- Good English communication skills, ability to communicate with clients and stakeholders effectively.
Data Engineering & DevOps
- Practical hands-on experience with data pipeline and orchestration tooling: Apache Airflow / Cloud Composer, Dataflow, Dataproc, dbt, Spark, or similar.
- Experience with data lake and warehouse architectures using BigQuery, Cloud Storage, and Dataplex.
- DevOps practices including containerisation (Docker, GKE), Infrastructure as Code (Terraform, Deployment Manager), and automated testing.
- Experience with streaming data platforms (e.g., Apache Kafka, Pub/Sub) is a plus.
Data Quality & Governance
- Strong focus on code quality, system reliability, and data governance.
- Experience with data quality checks, monitoring, alerting, and data lineage.
- GCP certifications (e.g., Google Cloud Professional Data Engineer, Professional Cloud Architect) are a plus.
AI Engineering (LLM & Agentic Systems)
- Practical hands-on experience with LLMs and agentic tooling: LangChain, LangGraph, AutoGen, CrewAI, OpenAI API, Anthropic API, Google Vertex AI, Hugging Face Transformers, MLFlow, Dataiku, MS Fairlearn, Google PAIR.
- Experience with prompt engineering, fine-tuning, evaluation frameworks, and responsible AI tooling.
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/