Founding Data & AI Engineer

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 important 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

• High GPA from a top tier Indian University such as IIT, NIT, SRM
• 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 medallion gold tables. You've done this before, not just read about it.
• Obsessive about detail and data quality. You sweat the edge cases.
• Scrappy and resourceful. Given a target and clear direction, you find the path to gold.

Nice to have: Python, orchestration (Airflow/Spark), Unity Catalog, Docker/Kubernetes.

Role Basics

• Role: Full-time Data Engineer
• Location: Remote (India)
• Compensation: Competitive (USD) + ESOP options + performance-linked increases
• Start: ASAP

Why Join Unloq

• Learn from the best. You'll work directly under a strong senior data engineer on real enterprise deployments, and grow fast.
• Real craft, real ownership. You own the pipelines that take messy data to trusted gold. The numbers leadership decides on start with your work.
• Direct founder access. Small team, big problems, zero bureaucracy.
• Modern stack. Databricks and Anthropic Claude at the core.
• Share options (ESOP).

We're building something that doesn't exist yet: the layer that makes AI trustworthy enough for the boardroom, not just the back office. It's early, it's hard, and the right people find that exciting. If you take pride in clean data done properly, this is your role.