Data Engineering Intern

Data Engineering Intern

What You Will Do

• Build and maintain ELT pipelines using dbt, Fivetran, and Apache Airflow under

senior guidance.

• Write clean, optimised SQL and Python for data transformation and ingestion

tasks.

• Assist with Snowflake and Databricks platform work — schema design,

warehouse configuration, cluster tuning.

• Run cost-analysis queries to identify over-spending patterns (auto-scaling,

unpartitioned scans, idle clusters).

• Support data migration projects moving clients from legacy warehouses (SQL

Server, Teradata, on-prem) to the cloud.

• Participate in code reviews, documentation, and knowledge-sharing within the

engineering team.

• Contribute to internal tooling and reusable pipeline templates that accelerate

client delivery.

What We Are Looking For

Must-have

• Bachelor's degree in Computer Science, Information Systems, or a related

technical field (2025 or 2026 graduate).

• Strong SQL fundamentals — joins, aggregations, window functions, query

optimisation basics.

• Python proficiency: writing scripts, working with pandas / PySpark, reading and

writing to APIs or files.

• Understanding of data warehouse concepts — schemas, fact/dimension tables,

partitioning, indexing.

• Genuine curiosity about data infrastructure and cloud platforms.

Nice-to-have

• Hands-on exposure to Snowflake or Databricks through coursework, self-study,

or internships.

• Familiarity with dbt (data build tool) — even working through the dbt Learn

tutorials counts.

• Experience with any cloud provider (AWS, Azure, or GCP) at the student-project

or certification level.

• Knowledge of orchestration tools such as Apache Airflow or Prefect