Data Engineer Intern: AI-Ready Data, Hybrid

Malt; Paris; Hybride; EUR 12 000 - 20 000; Plein temps

Avantages offerts par ce poste

Hybrid remote policy

Lunch vouchers €9/day on Swile card

Paid vacation days

Résumé du poste

Malt is seeking a Data Engineer Intern specializing in data transformation to join the Data Platform team in Paris for a 6‑month program starting September 2026. You will work closely with a Senior Analytics Engineer to deliver AI-ready data contexts, build AI agents, and tackle legacy table debt across production systems.

Ideal candidates have a strong CS/data background, real SQL/dbt/Python skills, and an interest in AI tooling (OpenAI API, LangChain).

Qualifications

• Educational focus in Computer Science, Data Engineering, or related field (BAC+4/5); final-year students welcome.
• Proficient writing SQL, building dbt models, and scripting in Python.
• Ability to research problems, form a point of view, and present structured recommendations.
• Hands-on experience with AI frameworks (OpenAI API, LangChain) and data quality principles.

Responsabilités

• Contribute to delivering a context layer for AI-readiness with guidance from your manager.
• Assist in implementing the context layer strategy and test it with AI tools.
• Identify unused or outdated tables, coordinate deprecation with stakeholders, and clean up data assets.
• Build and iterate on AI agents within the data engineering codebase (dbt generators, SQL reviewers, documentation writers).
• Collaborate with engineering, analytics, and business teams; document architecture decisions and data model patterns.

Connaissances

SQL

Python

dbt

Data transformation

Formation

BAC+4/5 in Computer Science or Data Engineering

Outils

OpenAI API

LangChain

dbt

Description du poste

Malt is seeking a Data Engineer Intern specializing in data transformation to join the Data Platform team in Paris for a 6‑month program starting September 2026. You will work closely with a Senior Analytics Engineer to deliver AI-ready data contexts, build AI agents, and tackle legacy table debt across production systems.

Ideal candidates have a strong CS/data background, real SQL/dbt/Python skills, and an interest in AI tooling (OpenAI API, LangChain).