Senior Data Engineer

About the role

Straits Ledger is hiring a data engineer in Singapore. You will build the pipelines that turn raw events into tables the rest of the business is willing to bet on. A pipeline that is fast and quietly wrong is worse than one that is slow, so correctness, lineage and replay are the axes we optimise.

Singapore job advertisements quote a MONTHLY figure and this one follows that convention. The annual wage supplement and any performance bonus sit on top of the range below rather than inside it.

What the work actually looks like

The work is a mix of new ingestion, modelling in the warehouse, and the permanent background task of handling late, duplicated and malformed records without silently dropping them. You will own the freshness and quality checks for your domain and be the person analysts ask when a number looks wrong. The team works a hybrid week out of Singapore, usually three days together and the rest wherever you work best.

What we look for

This is a senior individual-contributor role. You will be expected to push back on requirements that do not make sense and to set the technical direction for your part of the product. We want strong SQL, comfort with Python, and experience with an orchestrator in production. Modelling judgement matters more here than knowing a specific vendor: you should be able to explain why a table is shaped the way it is.

Working at Straits Ledger

We are an Employment Pass sponsor and will support a move for the right candidate; the team keeps Singapore hours with real flexibility around them. The range shown is a MONTHLY figure, which is how this market advertises salaries — it is not an annual number.