Temus

Digital transformation for public and enterprise

Google Cloud Platform Data Engineer 1 - Mths contract

Data EngineeringConfirmed live in the last 24 hours

ContractVietnamNo salary listed

About the Job

Requirements

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, including data services (BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, and Dataplex) and infrastructure/deployment (Cloud Functions, Cloud Run, GKE, and 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 such as PostgreSQL, MySQL, or SQL Server.
Familiarity with AI/ML concepts and ability to support data pipelines for ML workloads such as Vertex AI.
Good English communication skills and ability to communicate effectively with clients and stakeholders.
Practical hands-on experience with data pipeline and orchestration tooling such as Apache Airflow, Cloud Composer, Dataflow, Dataproc, dbt, or Spark.
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.
Strong focus on code quality, system reliability, and data governance.
Experience with data quality checks, monitoring, alerting, and data lineage.
Practical hands-on experience with large language models and agentic tooling such as LangChain, LangGraph, AutoGen, CrewAI, OpenAI API, Anthropic API, Google Vertex AI, Hugging Face Transformers, MLFlow, Dataiku, MS Fairlearn, or Google PAIR.
Experience with prompt engineering, fine-tuning, evaluation frameworks, and responsible AI tooling.

Responsibilities

Design, build, and maintain scalable data platforms on Google Cloud Platform for clients.
Work closely with regional and Singapore-based teams to deliver data solutions.
Develop and maintain relationships with clients, colleagues, and partners across varied contexts and formats.
Continuously build and extend knowledge and skills.

Desired Qualifications

Experience with streaming data platforms such as Apache Kafka or Pub/Sub.
GCP certifications such as Google Cloud Professional Data Engineer or Professional Cloud Architect.

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/

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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