About The Role

Role Overview

We are looking for a motivated Data Engineer Intern to support our technology team in managing, processing, and improving data across the organization. This role provides hands-on experience in data pipelines, databases, data quality, and data integration — using tools such as SQL, Python, and n8n — while working closely with technology and business teams.

Data Pipeline & Integration

Support the development and maintenance of data pipelines and data processing workflows using SQL, Python, and workflow automation tools such as n8n .
Assist in collecting, transforming, and integrating data from various sources and systems ( databases, APIs, files, and third-party platforms ).
Support data integration between applications, databases, and internal systems, including scheduled jobs and API/webhook-based data flows .
Assist in monitoring data processes and troubleshooting data pipeline issues.

Database & Data Management

Support the maintenance and organization of databases and data structures ( PostgreSQL / MySQL, and cloud data warehouses such as BigQuery ).
Assist in writing and optimizing SQL queries to retrieve and process data efficiently.
Support data cleaning, validation, and transformation to ensure data quality and usability.
Assist in identifying and resolving data inconsistencies or quality issues.

Development & Business Support

Work with available data to support reporting, analysis, and data-driven initiatives across the business.
Assist in preparing datasets, reports, or data tools ( dashboards in tools such as Looker Studio / Metabase ) to support business and operational needs.
Collaborate with relevant teams to understand data requirements and translate them into practical data solutions.
Support the development and improvement of data processes based on business requirements, including automating recurring manual data tasks .

Collaboration & Continuous Learning

Collaborate with developers, data teams, and business stakeholders to understand requirements and deliver solutions.
Participate in data testing, documentation, technical discussions, and process improvement activities.
Stay updated on relevant data technologies, tools, and best practices.
Take ownership of assigned tasks, communicate progress and challenges, and seek feedback to continuously improve technical skills.

Tech Stack You'll Work With

Languages: SQL, Python (JavaScript/Node.js is a plus)
Databases & Warehouse: PostgreSQL / MySQL, BigQuery
Pipeline & Automation: n8n, scheduled jobs, REST APIs / webhooks
Reporting: Looker Studio / Metabase, Google Sheets
Tools: Git / GitHub, Docker, cloud platform basics (GCP)

Requirements

Able to commit to a minimum 3-month internship period.
Currently studying Computer Science, Data Science/Engineering, Statistics, IT, or a related field (or self-taught with equivalent projects).
Basic SQL skills and an understanding of how relational databases work.
Basic scripting ability in Python (or another language) for data processing.
Exposure to n8n, Node.js, ETL concepts, or any cloud data platform is a strong plus.
Detail-oriented about data accuracy, willing to learn, and able to communicate findings clearly.