About the role
From the employer’s listing · Malt · posted 10 June 2026
🪐 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 Identify unused or outdated tables, coordinate with stakeholders to confirm it's safe to deprecate, and clean them up.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 Str