Data Engineer Intern

Location:

Stipend:

Duration:

Full-time conversion based on performance

About Enqurious

upskilling industry-ready Data and AI teams

Data Engineers

www.enqurious.com

Role Overview

Junior Data Engineer Intern

Key Responsibilities

Core Engineering

• Work on

  ETL/ELT pipelines

  using SQL for simulated and real-world projects.
• Perform

  data validation, cleaning, and transformation

  tasks using basic Python.
• Create

  Power BI dashboards

  to visualize and communicate business trends.
• Collaborate with senior data engineers to design and test new

  project scenarios

  .

Learning & Project Exposure

• Contribute to

  project creation and lab design

  for Enqurious’ upskilling programs.
• Assist in preparing

  datasets, exercises, and project templates

  for enterprise learners.
• Get exposure to

  modern data stacks

  : Azure, Databricks, Snowflake, and Power BI.

Must-Have Skills

• SQL:

  Confident in writing queries, joins, and aggregations.

• Power BI:

  Able to build basic dashboards and visualizations.

• Python:

  Familiar with basic data manipulation and logic building.

• Analytical Mindset:

  Strong interest in learning modern data engineering tools and concepts.

Good-to-Have

• Exposure to

  cloud platforms

  (Azure, AWS, or GCP).
• Basic understanding of

  data modeling

  or

  ETL concepts

  .
• Curiosity for continuous learning and growth.

What We Offer

Professional Growth

• Work on

  real industry projects

  and simulated enterprise data problems.
• Learn directly from certified mentors and cloud experts.
• Fast-track your journey toward a

  Data Engineer

  or

  Cloud Engineer

  role.
• Access to premium learning resources and certification support.

Work Environment

• Remote internship

  with flexible working hours.
• Exposure to both

  core engineering

  and

  upskilling product

  initiatives.

• Startup agility

  – freedom to experiment, learn, and contribute ideas.

Who Should Apply

You’re the right fit if you:

• Are a

  fresh graduate

  or have

  0–1 year of experience

  in data-related fields.
• Are eager to start your career in data engineering.
• Have a

  growth mindset

  and love learning through real-world challenges.
• Can work independently in a

  remote, fast-paced environment

  .

Application Process

• Technical Assessment:

  Evaluate your SQL and Power BI fundamentals.

• Interview Round:

  Discussion on problem-solving approach and learning mindset.