Data Engineer (Data Platform)

Posted 7 Days Ago
Hiring Remotely in Vietnam
Remote
Mid level
Fintech • Information Technology • Financial Services • Cryptocurrency
The Role
Build and maintain the company data platform: metadata repository, ELT pipelines, warehouse, and internal web apps. Ensure data freshness, quality, lineage, security, and scalability. Integrate AI (LLM/RAG) into apps, partner with analysts to deliver documented datasets, and iterate on features with users. Support uptime, performance, cost, and access control while growing ownership under mentorship toward senior platform roles.
Summary Generated by Built In

We're looking for a Data Engineer (Data Platform) to help build the systems the rest of the business runs on. Working alongside our Staff Engineer, you'll develop and support our data platform end to end — the metadata repository, the pipelines that feed it, the warehouse, and the internal web apps and AI our teams use every day.

This is the role that builds the platform. (Our Data Analysts, on Finance/Risk/Fraud, shape and validate what runs on top of it.) It's a broad brief for someone early in their career — you won't master every layer on day one, but you'll get exposure across the full stack and grow into deeper ownership over time.

Every dashboard, fraud signal, financial report, and AI-driven analysis is only as good as the data behind it. When the platform is solid, the teams that depend on it move fast and trust what they see — and that's the difference you'll make here.

You'll learn directly from an experienced Staff Engineer who owns the platform's direction, with real mentorship and a clear path toward senior data platform and architecture roles.

Day to day, your work answers questions like: Is our data fresh, complete, and reconciled with the source? Is the metadata layer easy to build on? Can the apps, analysts, and AI systems trust what they're reading, at any hour?

What you'll be doing:

Build and support the platform

• Contribute to and maintain the metadata repository that pipelines, apps, and analytics depend on

• Build and run ingestion and ELT pipelines (Airflow / MWAA) that bring transactions, product events, and third-party feeds in reliably and on time

• Keep the platform healthy — uptime, performance, cost, data quality, and scaling as volumes grow

Build the apps and AI on top

• Build and maintain the internal web apps Risk, Fraud, and Reporting rely on — expect meaningful full-stack work, including frontend

• Shape features with users, prioritise, and iterate — not just build to spec

• Integrate AI capabilities (LLM / RAG, agentic analysis) into the platform and its apps

Enable analysts and downstream systems

• Provide clean, well-modelled, documented datasets both analyst teams can build on

• Partner with analysts and stakeholders to expose new sources, evolve schemas, and align on metric definitions

Strengthen foundations and governance

• Improve data lineage, documentation, and reliability

• Help manage access control, security, and the handling of sensitive financial and customer data

What we're looking for:

  •  2–4 years in data engineering, backend, or platform engineering

  • Strong SQL and Python

  • Experience building and maintaining data pipelines and orchestration (Airflow or similar)

  • Working knowledge of data models and schemas — the metadata layer other systems build on

  • Full-stack ability to build and maintain web apps (backend plus frontend) on the platform

  • Experience with cloud services and data warehouses (AWS preferred)

  • Strong communication and a genuine eagerness to learn from senior engineers

Nice to Have:

  • Financial services, fintech, or crypto experience, and handling sensitive transaction data

  • Modern web frameworks (React / TypeScript, Flutter, Node) and internal-tool building

  • Integrating AI / LLM / RAG into products

  • dbt or a similar transformation framework

  • Infrastructure-as-code, CI/CD, and streaming / CDC tooling (Terraform, GitHub Actions, Kafka, Kinesis)

What Success Looks Like

  • The platform is reliable — high uptime, fresh and accurate data the teams above it trust

  • The metadata repository and pipelines make everything built on them easier to ship

  • New sources, apps, and features go live quickly and cleanly

  • Data-quality issues are caught before they reach apps, reports, or AI systems

  • The platform scales with the business as analytics and AI demands grow

What’s in it for you:

  • Friendly and fun start-up work culture

  • Convenient work location located in the heart of CBD area

  • Generous annual leaves on top of national holidays

  • Medical coverage including GP, Specialist, TCM, and more

  • Self-care benefits and exciting fitness workshops/webinars

  • Vibrant office with a well-stocked pantry

Find out more about Coinhako here https://www.coinhako.com/ and don't forget to visit our Careers Page https://www.coinhako.com/join-us

By submitting your application to us, you consent to the collection, use, disclosure and processing of your personal data in accordance with our privacy policy, which is accessible at https://www.coinhako.com/legal/sg-1/privacy_policy.

Skills Required

  • 2-4 years in data engineering, backend, or platform engineering
  • Strong SQL
  • Strong Python
  • Experience building and maintaining data pipelines and orchestration (Airflow or similar)
  • Working knowledge of data models and schemas and metadata layers
  • Full-stack ability to build and maintain web apps (backend and frontend)
  • Experience with cloud services and data warehouses (AWS preferred)
  • Strong communication and eagerness to learn from senior engineers
  • Financial services, fintech, or crypto experience and handling sensitive transaction data
  • Modern web frameworks (React, TypeScript, Flutter, Node) and internal-tool building
  • Integrating AI / LLM / RAG into products
  • dbt or a similar transformation framework
  • Infrastructure-as-code, CI/CD, and streaming / CDC tooling (Terraform, GitHub Actions, Kafka, Kinesis)
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Singapore
112 Employees
Year Founded: 2014

What We Do

Founded in 2014, Coinhako is the trusted choice for access to cryptocurrencies. Headquartered in Singapore, we specialize in on-and-off ramp services for cryptocurrencies for the retail, high net worth and institutional markets across the world. Coinhako platform was founded by Singaporean entrepreneurs

Similar Jobs

Pfizer Logo Pfizer

Senior Health Representative - (Vaccines Hospital - Dong Nai/An Giang/Kien Giang)

Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Remote or Hybrid
6 Locations
121990 Employees

Pfizer Logo Pfizer

Commercial Lead, Vietnam and Thailand

Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
In-Office or Remote
2 Locations
121990 Employees

Tapestry - Coach and Kate Spade Logo Tapestry - Coach and Kate Spade

Developer, Product Development (Footwear)

eCommerce • Fashion • Retail • Sales • Wearables • Design
Remote or Hybrid
Haiphong, VNM
16000 Employees

Tapestry - Coach and Kate Spade Logo Tapestry - Coach and Kate Spade

Quality Auditor, Footwear

eCommerce • Fashion • Retail • Sales • Wearables • Design
Remote or Hybrid
Haiphong, VNM
16000 Employees

Similar Companies Hiring

Golden Pet Brands Thumbnail
Digital Media • eCommerce • Information Technology • Marketing Tech • Pet • Retail • Social Media
El Segundo, California
178 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account