About 42Next:

42Next is our new initiative aimed at expanding our innovative educational model to meet evolving industry needs. This offering builds upon our core curriculum while integrating new technologies and methodologies to prepare students for the rapidly changing digital landscape.

Responsibilities:

As a Data Platform Engineering Intern at 42, you will:

• Enhance our integration with open source tools including Dagster, dlthub, and Superset

• Directly contribute to open source solutions through code contributions, bug fixes, and feature enhancements

• Adapt open source tools to our particular stack and requirements

• Develop and maintain data infrastructure components that support our educational ecosystem

• Design and implement engineering solutions that address our unique data challenges

• Take projects from ideation through development, testing, and production deployment

• Write tests, build dashboards, make code production ready, and learn how to automate processes

• Collaborate with stakeholders across the organization to understand data needs and provide solutions

• Gain practical experience with data engineering tools and practices while contributing to meaningful projects

Education and previous experience:

• Level: Bachelor’s degree (BAC+3) or higher (or equivalent)

• Fields: Computer Science, Data Science, Statistics, Software Engineering, Information Systems, Big Data, or related

Appreciated extracurricular & personal activities:

• Academic Projects: End-to-end data integration, dashboard development, group deliverables with milestones.

• Open-source contributions (e.g., Dagster, Superset, dlthub)

• Hackathons, data meetups, Kaggle competitions

• Technical blogging or conference/student-club presentations

Required hard skills:

• SQL & Data Modeling: advanced query writing, schema design (star/snowflake), optimization

• Scripting & Programming: Python (Pandas, SQLAlchemy) or similar

• ETL & Orchestration: Building and scheduling pipelines with Airflow, dbt, Dagster or equivalents

• Version Control & CI/CD: Git workflows; basic Docker, automated testing (e.g. pytest), familiarity with CI/CD concepts

• Linux/Unix: Command-line comfort, shell scripting

Recommended hard skills:

• Visualization & Dashboards: Apache Superset (dashboard creation, filters, parameterization)

• Open-Source Engagement: Experience contributing to OSS (bug fixes, feature PRs)

• Cloud & Infra as Code: AWS/GCP/Azure fundamentals (e.g. S3, BigQuery), Terraform/CloudFormation

• Container Orchestration: Kubernetes basics

• Testing & Quality: Writing unit/integration tests, code reviews, documentation

Soft Skills:

• Analytical Mindset: Translate business needs into data solutions

• Communication: Explain technical concepts clearly to diverse stakeholders

• Collaboration: Pair-programming, code reviews, cross-team alignment

• Autonomy & Curiosity: Self-driven learning and initiative

• Organization: Task prioritization, clear documentation

• Languages: French (fluent) and English (professional proficiency)