Data Engineer

At Alan, every decision we make about our members' care, contracts and claims is a data decision. The Data Foundations team builds the platform that makes those decisions possible in a safe way.

• Being part of the Data Foundations team means you'll

• We enable Alan's

• Partner closely with people across Alan (technical and non-technical) to understand their needs and build data solutions they can trust and use effectively.

• We own and manage

that power Alan.

• AI is changing the way companies work with data: agents are becoming first-class users of our data warehouse. It opens a world of new usage and exciting features, as well as concerns around security, data quality and governance.

• Alan is expanding quickly: we went from 4 to 6 countries this year and we won't stop there. Our objective is to onboard new countries in weeks, not months.

, allowing our teams to make sense of a patchwork of insurance systems, regulations and reporting rules.

• Examples of our missions:
• improve the developer experience when building and maintaining data pipelines,

• enable reliable and secure access to our data warehouse for Alaners and AI agents,

• strengthen security and governance around our data assets,

• define and implement standard data practices across Alan,

• maintain and evolve our core data infrastructure to accommodate Alan's international expansion and growing product breadth...

• Our core tools include Python, Airflow, Snowflake, AWS/GCP, Metabase, Terraform, dbt, and others.

• Who you'll work with: Data Foundations is a small, high-leverage team inside the Tech Foundations area, whose mission is to enable product crews through world-class infrastructure, developer experience, operational excellence, and built-in security. You'd be joining as one of its core engineers, working daily with the whole Data community at Alan.

• Passionate about owning ambitious problems and developing simple solutions for them.

• 3+ years of experience demonstrating impact in Data positions. We welcome candidates from early-career to highly experienced profiles. You may already have strong expertise in Data Engineering, or be an experienced data or software engineer looking to deepen your specialization in this area.

• Experience

: orchestration (Airflow or similar), a cloud data warehouse, infrastructure as code.

• Experience

.

• Proficient in Python and SQL. Setting a high standard of rigor and precision for yourself, interested in your craft.

• Curious about AI and eager to use it thoughtfully to increase your impact.

• Great listening and communication skills.

• Humble, kind, collaborative, and still willing to grow (no matter your seniority!).

• Fluent and clear in English, both oral and written (no need to speak French!).

For this role, we are looking to hire within the C0-E level range .