Analytics Engineer Intern (September 2026)
TLDR
Contribute to a data platform by building an AI-ready context layer, creating AI agents, and cleaning legacy tables under mentorship.
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 Identify unused or outdated tables, coordinate with stakeholders to confirm it's safe to deprecate, and clean them up.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.
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
Benefits
Learning Budget
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.
Team building events
Annual team building events
Paid Time Off
Paid vacation - 1 paid day/month worked for interns, 5 weeks/year for apprenticeships
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