Malt
Analytics Engineer Intern (September 2026)
HybridJuniorParis, Île-de-France, FranceB2B SaaSMarketplaceAI/ML
Our Take
Build AI-ready data infrastructure and AI agents for Europe's leading freelance marketplace.
What you’ll do
- Implement context layer for AI-readiness
- Build and iterate on AI agents for analytics engineering
- Identify and remove legacy data tables
- Collaborate with engineering and analytics teams
- Document architecture, data models, and deprecation rationale
What they’re looking for
- Final-year student in CS, Data Engineering, or related
- Proficient in SQL, dbt, and Python scripting
- Experience with AI frameworks (OpenAI API, LangChain)
- Strong data quality and AI development mindset
- Professional working proficiency in English
What you get
- Paid internship
- Lunch vouchers
- 50% transportation reimbursement
- Free books for learning
- Hybrid remote policy
- Annual team building events
Skills & Focus Areas
- SQL
- dbt
- Python
- OpenAI API
- LangChain
- LLMs
- RAG
- data quality
As posted by Malt
🪐 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.
Panel interview to present the take home exerciseK
Malt is the perfect space to thrive personally and professionally 💫
- 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
Ready? Get your ticket to Malt 🪐
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.
Explore your future career 🔭
We're looking for an Analytics Engineer Intern to join Malt's Data Platform team for 6 months, starting July 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 analytics engineering 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 analytics 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)
How to join the mission? 🚀
Screening call with HR (30 min) to understand your background, motivations, and answer any questions
1st interview with your future manager (60 min)
Homework: a short take-home exercise to present during the 3rd interview