Data Engineer – Paid Internship – Unloq®

🚀 Latest Job Opportunity

Data Engineer – Paid Internship

🏢 Unloq®

📍 Bengaluru, Karnataka, IN

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Job Type
full-time

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Work Mode
Not specified

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Experience
Not specified

💼 Job Highlights

Company
🏢 Unloq®
Location
📍 Bengaluru, Karnataka, IN
Job Type
💼 full-time
Work Mode
🌐 Not specified

💰 Salary & Experience

Salary
Not specified
Experience Required
Not specified

📋 Job Description

Data Engineer – Internship

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 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 Engineering Intern: someone 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. It’s an internship on paper, but we want someone genuinely outstanding. A superstar early-career engineer who does this better than people twice their tenure. This is not an ordinary internship, we will help you accelerate up the career ladder with a mentorship program that is second to none.

🔑 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

  • A high GPA and serious academic pedigree. Our strongest engineers come from top tier Indian universities such as IIT, NIT and SRM, and that’s the calibre we hire at.
  • 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: Data Engineer Intern (full-time or part-time)
  • Location: Fully Remote, Start ASAP
  • Compensation: This is a paid internship at $250pm

Why Join Unloq®?

  • Learn from the best. You’ll work directly with our Founding Data & Observability Engineer on real enterprise deployments, and grow fast.
  • Real craft, real ownership. You build the pipelines our platform runs on. The work leadership sees starts with yours.
  • Direct founder access. Small team, big problems, zero bureaucracy.
  • Modern stack. Databricks, Delta Lake, PostgreSQL and Claude Code at the core.
  • 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 flawless execution done properly, this is your role.

🛠️ Required Skills

SQL, Databricks, Delta Lake, Python (nice to have), Airflow/Spark (nice to have)

ℹ️ Important Information

Please review the complete job description, eligibility requirements, location, experience and salary details before applying.

⭐ Why Consider This Opportunity?

  • Explore a career opportunity with Unloq®.
  • Review the complete job description and requirements.
  • Check the available salary, location and work-mode details.
  • Apply through the official job link provided below.

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Ready to Apply?

Take the next step in your career and apply for the Data Engineer – Paid Internship position.


Apply Now →

Apply through the official job link above.

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