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 an Analytics Engineering Intern at 42, you will:

• Refine our data modeling approach across the organization, improving how we structure and organize information

• Integrate multiple data sources from both legacy systems and new 42Next products into a cohesive data architecture

• Design and build data pipelines using SQL and other relevant tools

• Create and improve dashboards in Superset to enhance data visualization and accessibility for various stakeholders

• Write technical documentation and proposals for data initiatives

• Collaborate with team members to understand their data needs and provide effective solutions

• Support day-to-day analytics projects and contribute to the existing codebase

• Learn about Analytics Engineering principles and best practices while gaining hands-on experience with relevant tools and technologies

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)