Data Engineer Intern (October 2026)

Malt; Paris; Hybrid; EUR 12,000 - 18,000; Full time

Benefits offered by this job

Paid vacation 1 day per month worked

Lunch vouchers €9/day

Transportation 50% reimbursement

Books on request

Hybrid remote work

Annual team events

Job summary

Malt is seeking a Data Engineer Intern to join the Data Platform team in Paris for 6 months starting September 2026. You’ll work with a Senior Analytics Engineer on real production projects focused on data transformation, AI-readiness, and agent development.

You’ll build dbt models, write SQL, and script in Python while researching problems, forming viewpoints, and documenting decisions for a fast-paced, English-speaking environment.

Qualifications

• High-level education in Computer Science, Data Engineering, or related field.
• Able to write SQL, build dbt models, and script in Python.
• Research a problem, form a view, and present structured recommendations.
• Hands-on with OpenAI API, LangChain, or similar frameworks and data quality focus.

Responsibilities

• Contribute to delivering a context layer for AI-readiness under guidance.
• Support implementation of the context layer strategy and test with AI tools.
• Help remove legacy tables by identifying unused ones and coordinating deprecation.
• Build and iterate AI agents within the data engineering codebase to reduce repetitive work.
• Collaborate with engineering, analytics, and business teams.
• Document architecture decisions, data model patterns, deprecation rationale, and agent skills.

Skills

SQL

dbt models

Python

AI frameworks

English proficiency

Education

BAC+4/5 in Computer Science or Data Engineering

Tools

OpenAI API

LangChain

Python scripting

dbt

Job description

Discover our galaxy Join the Future of Work ! Malt is Europe's leading freelance marketplace, connecting over 1,000,000 talented freelancers with 100,000+ companies. Founded in 2013, we're transforming how work gets done through our tech-powered, human-centered platform. What makes us different:

• A diverse team of 600 Malters across 6 European countries
• A culture that champions equality (50% of our Comex are women) and inclusive growth
• Backed by top investors including ISAI, Serena Capital, Eurazeo Growth, Goldman Sachs, and BPI
• A mission to give everyone the freedom to work differently

Ready to help shape the future of work? Your next chapter starts here!

At Malt we believe that Ambition is the Way, so all lists of missions and responsibilities are non-exhaustive.

Explore your future career

We're looking for an Data Engineer Intern specializing in data transformation to join Malt's Data Platform team for 6 months, starting September 2026. You'll work closely with a Senior Analytics Engineer who will support and guide you throughout your internship.

This is not a passive internship. You'll contribute to real production work across three tracks: helping research and implement a context layer that makes our data AI-ready, building AI agents that make our data team faster, and tackling legacy table debt that has been slowing us down. You'll also collaborate with product engineers to improve how we instrument and observe our platform because good agents start with good data.

Key Responsibilities

• Contribute to delivering a context layer for AI-readiness. With guidance from your manager.
• Contribute to implementing the context layer strategy. Once the proposal is validated, you'll help implement and test it with AI tools to assess effectiveness.
• Help remove legacy tables. Identify unused or outdated tables, coordinate with stakeholders to confirm it’s safe to deprecate, and clean them up. Less glamorous, but it directly unblocks the team.
• Build and iterate on AI agents within the data engineering codebase (e.g. dbt model generators, SQL reviewers, documentation writers) to reduce repetitive work supported by senior engineers.
• Collaborate with engineering, analytics, and business teams.
• Document your work: architecture decisions, data model patterns, deprecation rationale, and agent skills so the team can build on it after your internship ends.

About You

• High-level education ideally in Computer Science, Data Engineering, or a related field (BAC+4/5); final-year students welcome
• You build, not just spec: comfortable writing SQL, building dbt models, and scripting in Python
• You can research a problem, form a point of view, and present a structured recommendation not just execute tasks handed to you
• You follow AI developments (LLMs, agents, RAG) and have hands-on experience with at least one framework: OpenAI API, LangChain, or similar — you understand why data quality is the foundation of any good AI system
• Strong data quality mindset: you know a KPI without a baseline is just a number, and you care about lineage, documentation, and reproducibility
• Autonomous and proactive: you flag blockers early and thrive in a fast-moving environment with multiple concurrent projects
• Professional working proficiency in English (written and verbal)

• Onboarding: Before easing into your new role, you’ll spend your first week learning about our culture, products, and services with other onboardees at our office in Paris
• Paid vacation - 1 paid day/month worked for interns, 5 weeks/year for apprenticeships
• Lunch vouchers: €9/day on your Swile card
• Transportation: 50% reimbursement (any type of transport)
• Free books: If you’re interested in learning more about any topic relevant to Malt’s business, just tell us the books you’d like to read, and we’ll order them for you—without any questions asked or approval processes to follow
• Remote work: Hybrid remote policy
• Annual team building events

At Malt, we are committed to fostering an inclusive and diverse workplace. We recruit based on skills, experience, and potential, without any form of discrimination related to age, gender, sexual orientation, ethnicity, religion, or disability. Our mission is to create a work environment where everyone feels valued, respected, and safe to thrive.

Your profile may be subject to background screening. For more information see our candidate privacy policy.

We believe people hire people. While we use AI to help our team manage the high volume of applications we receive, it never replaces our personal touch. Think of AI as our administrative assistant—it helps us stay organized, but all final decisions are made by our Talent Acquisition team members who look for the unique value you bring.