Data Engineer Intern (September 2026)
TLDR
Build an AI-ready context layer, create data engineering agents, remove legacy tables, and improve platform instrumentation with SQL, dbt, and Python.
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 Identify unused or outdated tables, coordinate with stakeholders to confirm it's safe to deprecate, and clean them up.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.
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)
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
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.
Benefits
Free Meals & Snacks
Lunch vouchers: €9/day on your Swile card
Health Insurance
Transportation: 50% reimbursement (any type of transport)
Learning Budget
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.
Paid Time Off
Annual team building events
Remote-Friendly
Remote work: Hybrid remote policy
Malt is a freelance marketplace that connects talented freelancers with companies across Europe, facilitating seamless project-based work. By combining technology with a human-centered approach, Malt simplifies the process of finding and managing freelance talent, making it easier for companies to engage skilled professionals.
- Founded
- Founded 2013
- Employees
- 11-50 employees
- Industry
- Professional Services
- Total raised
- $36M raised