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 &
- 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 &
- 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 &
- 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 &
- 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
Benefits
- Internship Allowance 6,000 per/month
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