Data Engineer - 6-months internship from September 2025

We develop AI systems that help insurers better understand and manage risk, so they can offer coverage tailored to the businesses they protect.
Our SaaS platform helps leading insurers make faster, more informed underwriting decisions using structured and unstructured data. With 75% of our team dedicated to R&D, we're on a mission to transform the way insurance operates.
We recently raised a €10M Series A round to scale our impact across Europe.
We're kicking off a major transformation of one of our core product modules into a fully agentic system, and are working to evolve our data infrastructure to be more flexible and scalable in support of this shift.
Internship overview
Join our team to modernize a critical analytics infrastructure that processes millions of application events and operational data daily. You'll work on migrating legacy analytics pipelines to a modern, scalable architecture using cutting-edge tools, while preparing for integration with our existing orchestration framework.
This internship offers hands-on experience with real production data pipelines, modern data engineering practices, and the opportunity to significantly impact our analytics capabilities. You'll work closely with our data team to deliver measurable performance improvements and lay the groundwork for our next-generation analytics platform.
You will directly engage with cross-functional teams (product, operations, customer success, sales) to understand real-world data challenges, then architect solutions that power our AI-driven business decisions. You'll have significant input into technical tool selection and architecture decisions, making this a truly collaborative learning experience.
Main responsibilities
Core projects
1. Pipeline modularization & refactoring
Refactor existing analytics code into clean, testable modules
Implement separation of concerns for data extraction, transformation, and loading
Develop comprehensive unit tests for all new modules
2. Next-gen implementation for data transformations
Migrate existing complex Python ingestion code to production-grade data pipeline
Implement DBT-style transformation layers (staging → intermediate → marts)
Optimize SQL queries for improved processing speed and better maintainability
3. Data Quality & Validation Framework
Build automated data validation comparing old vs. new pipeline outputs
Implement schema comparison, data distribution analysis, and row-level validation
Create monitoring dashboards for data pipeline health
Ensure zero data loss during migration process
4. Performance optimization
Benchmark current vs. new pipeline performance
Optimize data processing to significantly reduce execution times
Document performance improvements and bottleneck analysis
Deliverables
Modular Python codebase with comprehensive documentation
SQL-based transformation layer and associated data cataloging
Automated testing and validation framework
Performance benchmarking reports
Technical documentation and migration guides
What we're looking for
Final-year Master's or Engineering student with a focus on Data Engineering or related field
Prior Python experience, SQL knowledge, and interest in data systems
Experience with dataframe libraries (pandas, polars), dbt, or cloud services is a plus
Fluent in English and French is mandatory
We encourage all applications
Don't meet every single requirement? That's okay.
We know that the best candidates don't always fit a perfect checklist. If this role sparks your interest, we'd love to hear from you, even if you're not sure you meet every criterion.
We're looking for curious, motivated people who are eager to learn and make a real impact.
At Continuity, we value diversity in all its forms and are committed to fostering an inclusive, supportive workplace where everyone can thrive.
Interview process
First introductory call with a Data Engineering team member (20 minutes)
Case study and feedback with our Data Engineering team (1h)
Team fit Meeting with R&D team members (1h)
HR interview with Talent Manager (30 minutes)
Welcome to the team
Good to know
Swile card
50% of travel expenses covered
Saint-Lazare - Paris 9e central offices
Remuneration: euros/ month
Why join us?
Work on cutting-edge, high-impact data problems with strong mentorship from senior engineers
Experience with modern data engineering technologies
Work with real business-critical data pipelines
Join a dynamic, ambitious team with a strong technical culture and real-world impact
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