Data Engineering Intern

Data Engineering Intern : What You Will DoBuild 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-haveHands-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 Data Engineering Intern : What You Will DoBuild 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-haveHands-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