Field Engineer (Data Engineer)

JOB DESCRIPTION

Responsible for supporting the Data Science POCs/projects with data acquisition and preparation.
Responsible for supporting the Data Science POCs/projects with systems integration engineering.
Responsible for ensuring their work for the POCs/projects are delivered on time, scope and quality
Work closely with Data Scientists to successfully deliver on customer requirements from POC/projects.
Provide regular progress updates to the customer and other stakeholders
Perform activities like connecting to customers’ systems to download data, data storage, clearing, wrangling and preparing datasets for data science work.
Some POCs/projects may require simple front-end development. The candidate must be flexible to switch between data engineering tasks and front-end engineering tasks as required.
Raise POC/project risks, issues, concerns proactively and constructively
Maintain POC/project documentation and artifacts as per team’s guidelines and standards
Provide product related feedback to the H1st product development team, and contribute to H1st development as required.
Help to recruit and onboard new team members as required 

JOB REQUIREMENT

Must-have:
5+ year’s work experience after Bachelor's degree or 3+ years work experience after Master’s degree.
Strong data data engineering fundamentals including solid experience in data storage, data conversion, data wrangling and preparing datasets for data science
Demonstrable experience in system access protocols (eg connecting to cloud storage platforms, hadoop data lakes etc) for data acquisition
Demonstrable ability to think critically in understanding problems and formulating solutions
Demonstrable experience working with data storage formats-AWS S3, Parquet, Spark Dataframes, and similar
Experience working as systems integration engineer and/or front-end engineer is a huge plus
Excellent customer interaction skills, including ability to communicate effectively with technical and non-technical audiences (for example, customers)
Programming languages & packages: Python/SciKit-Learn, MS Excel, scripting 1+ year experience doing data engineering on one of the public cloud platforms is required
Nice-to-have:
Prior experience working as a data scientist
University degree: Bachelor’s or Master’s degree in Computer Science or equivalent  

WHAT'S ON OFFER

Awesome colleagues
We will match exceptional talent with exceptional compensation (salary and equity)
You can shape the company culture where the best ideas always win out–regardless of the role, title or seniority; and where engineers are encouraged to help drive strategic decisions
Unlimited vacation policy
Comprehensive health insurance

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Product, AI Application Platform

Technical Skills:

Data, Data Engineering, Machine Learning, Python, Java, Big Data

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Job ID:

J00638

Status:

Close

Related Job:

Senior Data Engineer (C++, Python, AI/LLM)

Ho Chi Minh - Viet Nam


Outsource

Enrich a wide range of structured and unstructured data into high-quality datasets for quantitative analysis and financial engineering. Enhance data quality and integrity by developing validation tools and frameworks to measure the effectiveness of data enrichment pipelines. Develop a deep understanding of machine learning, deep learning, and emerging AI/LLM applications, and analyze the underlying dynamics and behaviors within the data. Generate insights from large-scale datasets and collaborate with research teams to identify opportunities for tradable signals. Design and develop utility tools to automate software development, testing, deployment, and monitoring workflows. Provide technical support for global researchers, including diagnosing root causes of technical issues, troubleshooting Python and C++ code, and proposing scalable fixes and improvements. Investigate, debug, and resolve issues in C++ applications and data pipelines, with a strong focus on performance, stability, correctness, and maintainability. Explore and apply AI/LLM-based solutions to improve data processing, workflow efficiency, troubleshooting, documentation, and research support processes.

Negotiation

View details

Senior Backend Engineer

Ho Chi Minh, Ha Noi - Viet Nam


Product

Design, build, and operate backend services that power a leading B2B SaaS platform for the construction industry. Design clean, maintainable, and extensible software architecture. Identify and resolve performance bottlenecks (query optimization, caching, async processing). Drive software quality through automated testing, code reviews, observability, and CI/CD practices. Review and validate AI-generated code to ensure maintainability, correctness, and security. Mentor engineers and raise the team's engineering bar.#Development environment: Backend: Ruby (on Rails), Golang, Amazon Aurora (MySQL), DynamoDB FrontEnd: Nuxt.js, Vue.js, Next.js, ReactJS Mobile App: Kotlin, Swift, Flutter Deploy/ Build: AWS Amplify, CodePipeline, CodeBuild, CircleCI, GitHub Actions Others: Swagger, Docker, Figma, Confluence, JIRA, esa, gRPC Infrastructure: Helm, Terraform Automation test: Autify, Magicpod

Negotiation

View details

Application Engineer

Ho Chi Minh - Viet Nam


Product

  • Frontend
  • ReactJS
  • NodeJS

Build and maintain the Jan desktop app across macOS, Windows, and Linux using Tauri. Work full stack across the app: React and Node.js on the application layer, Rust on the native side. Own packaging, builds, and distribution: installers, auto-update, release pipelines, and code signing. Give Linux first-class support: packaging and distribution across common distros. Integrate local model runtimes and app features end to end. Work agent-natively as your default, running agents in parallel with your own review and guardrail discipline.

Negotiation

View details