At Allphins, we’re redefining how the world’s leading (re)insurers understand risk, and we want you to be part of it.
As a Data Engineer, you’ll build the systems that allow risk analysts at top-tier (re)insurance companies to make billion-dollar decisions with confidence. You will be responsible for designing robust data architectures, ensuring data integrity and security, and developing innovative solutions for large-scale data analysis in a cloud-based environment.
This is a rare opportunity to build foundational infrastructure in a market hungry for innovation.
What you’ll do:
Design and maintain scalable data pipelines, enabling seamless ingestion, transformation, and delivery across the platform.
Enhance data quality by contributing to continuous optimization and rigorous testing, to ensure our data is clean, trustworthy, and fully leveraged for maximum impact.
Collaborate with cross-functional teams - product, back-end, data science, and analytics teams, to support new features, dashboards, and ML integrations.
Drive infrastructure improvements, proposing solutions that increase efficiency and future-proof our platform.
Tech requirements:
Must have:
Expert in Python, PySpark, SQL and Airflow
Strong experience working with cloud infrastructure: GCP or AWS
Deep knowledge of big data architectures
Proven experience managing large-scale data volumes through Iceberg or Delta Lake
Nice to have:
Great knowledge of containerization with Docker and Kubernetes
Familiarity with Terraform
Experience in API development
Experience with dashboarding tools
We’re building a company where people can do their best work and be rewarded for it. Here’s what you can expect:
🏢 A central location: modern offices in Paris’ 9th arrondissement (WeWork), with the flexibility of hybrid work (3 days on-site)
💼 Autonomy & responsibility: you’ll have real ownership from day one, with high visibility across the company and the freedom to shape your role.
🚀 Growth in sync with our scale: Allphins is growing fast, and so will your opportunities, whether you’re deepening your expertise or taking on new challenges.
💸 Competitive compensation: We offer a solid salary package, along with transportation pass reimbursement, meal vouchers, and other perks.
🧰 Tools that work for you: Top-tier equipment and a modern tech stack so you can focus on building.
🤝 A focused, collaborative team: Work alongside experienced professionals who value clarity, impact, and smart execution.
We’re looking for a hands-on engineer who sees data pipelines as craft, not just code. You love solving complex problems, working with scale, and designing elegant systems that make hard things easy.
Academic background: You hold a Master’s degree from a top engineering school and combine advanced technical training with a pragmatic and effective approach to solving complex problems.
Data engineering experience: You have 5+ years of successful experience as a Data Engineer in a tech company, with a strong background in managing and optimizing data pipelines for production environments.
Industry knowledge: You have a good understanding of complex B2B platforms, with data at their core.
Interpersonal skills: You are analytical, detail-oriented, obsessed with performance, and eager to work in a highly collaborative environment.
Fluent in English and French.
HR interview
Senior Data Engineer interview
Discussion with our CTO
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