We're looking for a Data Engineer to join our Data Platform team at Coinhako.
Every dashboard, fraud signal, financial report and AI-driven analysis in the company depends on data being right. Our team runs the systems that make that true — the metadata repository, the ingestion and ELT pipelines, the warehouse, and the internal tools our teams use every day.
This is a hands-on contributor role on a small team, working inside a platform direction that's already set. You'll own pieces end to end: a pipeline one week, an internal tool the next, a data-quality problem the week after. Some of it is systems that are already live and depended on — those become yours to run and improve. The rest is new.
Crypto data does not behave. Upstream sources change shape without telling us. Numbers that look wrong are often correct, and numbers that look fine sometimes aren't. Most of the interesting work here is in knowing the difference — and building systems that hold up when you can't be sure.
What you'll be doing:
Write and run pipelines
Write and operate ingestion and ELT pipelines (Airflow / MWAA) bringing in transactions, product events and third-party feeds
Take a source we've never used and turn it into a table analysts trust
Keep pipelines healthy — including ones you didn't write
Contribute to guaranteeing the accuracy of our numbers
Add quality checks that stop bad data reaching reports, and make missing data visible instead of silent
Reconcile our numbers against independent sources
Investigate when a number looks wrong, and be able to say why it was — or wasn't
Contribute to the metadata layer
Add to and maintain the metadata repository that pipelines, apps and analytics rely on
Document datasets well enough that analysts and AI systems can use them without asking us
Contribute to the internal tools
Work on the backend and data layer behind the internal tools our teams depend on — the APIs they call and the metadata that drives them
Help integrate AI (LLM / RAG, agentic analysis) into the platform and its tools
Support the people who use it
Handle requests from analysts and stakeholders, and turn the repetitive ones into something self-service
What we're looking for:
2–4 years in data engineering, backend, or platform engineering
Strong SQL and Python
Experience writing and running pipelines with Airflow or something similar
Familiarity with cloud services (AWS preferred)
You understand the systems you've built — why they behave the way they do, what the trade-offs were, and what they cost to run
You've owned something in production end to end — deployed it, looked after it, and fixed it when it broke
You verify your own work before you call it done
Comfortable in code you didn't write, on systems that are already live
Comfortable writing backend code and deploying a service, not only running pipelines
Clear communication, and the judgement to flag uncertainty early rather than late
Nice to Have:
Financial services, fintech or crypto, and handling sensitive transaction data
Shipping and deploying internal tools or services — APIs, jobs, small apps
Data-quality tooling — Great Expectations, Soda, dbt tests
Experience with data you can't get back — streaming retention windows, APIs with no history, anything where missing the read means the observation never existed
What Success Looks Like:
The pipelines you look after run reliably — and when they don't, you know before anyone else does
Data-quality problems get caught before they reach a report, a dashboard, or an AI system
New sources go live cleanly, and the next one is easier because of how you did the last one
Analysts ask fewer repeat questions, because the answer is documented or self-service
When something breaks, you can explain what happened, what you changed, and why it won't happen the same way twice
AI tooling is expected, and we provide it. We care that you can explain and defend what you shipped — not that you typed every line
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.
Coinhako Singapore, Singapore, SGP Office
Singapore, Singapore
