Data Engineer (Data Platform)

Coinhako; Singapore; On-site; SGD 90,000 - 130,000; Full time

Benefits offered by this job

Friendly start-up culture

CBD location in heart of CBD

Generous annual leaves

Medical coverage

Wellness programs

Pantry and office perks

Job summary

Coinhako is seeking a Data Engineer to join the Data Platform team in Singapore. You will own end-to-end data pipelines, metadata, and internal tools, contributing to data quality and the platform’s growth.

This hands-on role covers live systems and new developments, with a focus on reliability and clear data ownership. The role emphasizes building pipelines, guaranteeing data accuracy, and collaborating across teams to enable analytics, AI, and reporting.

Qualifications

• 2–4 years of data engineering/backend/platform experience.
• Strong SQL and Python skills.
• Experience writing and running pipelines with Airflow or similar.
• Familiarity with cloud services (AWS preferred).

Responsibilities

• Write and operate ingestion and ELT pipelines (Airflow) bringing in transactions, product events and third-party feeds.
• Turn new sources into trusted tables for analysts.
• Keep pipelines healthy and maintain ones you didn’t write.

Skills

Data eng 2-4y

SQL

Python

Airflow

AWS

Tools

Airflow

Job description

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.

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