GCP Data Engineer I Vietnam (12 mths contract)

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/