Build at the frontier of AI ?

At Unloq, we partner with ambitious enterprises to build AI systems that deliver real results, held to one standard: every recommendation has to be defensible to a board. We're growing fast, going live with key customers, and shipping deployments that matter.

Our platform is a governed, vendor-agnostic decision layer that deploys inside an any container and reads data with full auditability. It takes a business from what happened and why, to what will happen and what to do next. True, engineered, prescriptive AI infrastructure.

We're looking for a one of a kind Data Engineer to be the person who can take any source system, however ugly, and reliably turn it into clean, trusted, production-grade gold tables. You'll work directly under our Founding Data & Observability Engineer, building the medallion pipelines our platform runs on.

This is hands-on, detail-obsessed pipeline craft. We're title-agnostic: not senior, not founding, but we want someone genuinely outstanding. A superstar early-career engineer who does this better than people twice their tenure.





? The Role

You'll own the journey from raw, scrappy source data to clean gold.
- Building medallion pipelines (bronze, silver, gold) on Databricks with Delta Lake
- Taming inconsistent, undocumented, real-world data (exports, spreadsheets, semantic models, transactional systems) into something clean and trustworthy
- Writing excellent, performant SQL. Modelling and querying operational data in PostgreSQL
- Tracing every metric back to source so gold tables are auditable and reproducible
- Building pipelines so they are clean to instrument

This is execution at a very high standard. You take direction on what to build, and you nail the how.

? Who This Is For
- Exceptional at SQL. Non-negotiable, and how we'll assess you.
- Hands-on Databricks: Delta Lake and the Lakehouse model
- Solid PostgreSQL experience
- A proven track record of turning scrappy source data into clean me

📌 Founding Data (Bengaluru)
🏢 Unloq®
📍 Bengaluru