Data Engineer - Paid Internship

Role Overview

Unloq is looking for a one-of-a-kind Data Engineer Intern to build medallion pipelines that power our AI decision layer. You will work directly under our Founding Data & Observability Engineer, transforming raw, inconsistent source data into clean, production-grade gold tables. This is a high-execution role designed for a superstar early-career engineer looking for intense mentorship and real ownership in a fast-growing AI startup.

Responsibilities

• Building medallion pipelines (bronze, silver, gold) on Databricks with Delta Lake
• Taming inconsistent, undocumented, real-world data into clean and trustworthy formats
• Writing excellent, performant SQL for modelling and querying operational data in PostgreSQL
• Tracing every metric back to source to ensure gold tables are auditable and reproducible
• Building pipelines that are clean to instrument

Requirements

• High GPA and serious academic pedigree (top-tier universities such as IIT, NIT, or SRM)
• Exceptional proficiency in SQL
• Hands-on experience with Databricks, Delta Lake, and the Lakehouse model
• Solid PostgreSQL experience
• Proven track record of turning scrappy source data into clean medallion gold tables
• Obsessive attention to detail and data quality
• Scrappy and resourceful mindset

Skills

• Databricks
• Delta Lake
• SQL
• PostgreSQL
• Python

Nice to Have

• Python
• Orchestration (Airflow/Spark)
• Unity Catalog
• Docker/Kubernetes

Benefits

• Paid internship
• Direct mentorship from Founding Data & Observability Engineer
• Direct founder access and zero bureaucracy
• Work with a modern stack including Databricks, Delta Lake, PostgreSQL, and Claude Code