Data Engineer
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Data Engineer - Paris - CDI
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Orus is a European insurtech company that is growing fast and full of ambition. The idea was born from a simple observation: professional insurance is too complex and not very effective. Professionals don't know what coverage they need, how and when it applies, and often end up unprotected or poorly covered. Orus is therefore the insurance professionals have been waiting for: simple, fast, transparent, and above all human.
At the heart of our mission:
A simple and understandable user experience
Putting technology at the service of tomorrow's insurance
To achieve this, Côme, Tom and Samuel, co-founders of Orus, raised 25 million euros in a Series B round. This was also an opportunity to be backed by top funds and private investors, including the CEOs of Pennylane, Hiscox Europe, and Leocare.
Why join us?
You'll grow within a fast-growing startup
A senior team with backgrounds at top startups (PayFit, Qonto, Alan, etc.)
In a supportive environment, which is particularly important at Orus
And we're already the French favorite insurtech, with 4.9 stars on TrustPilot
What we offer
BSPCE: every Orus employee is also a shareholder
Laptop of your choice (Apple, Linux, or Windows)
Spacious offices in Paris's 9th arrondissement
Flexible hybrid-work policy
Health insurance with Sidecare
€9 Swile meal vouchers
25 days of paid vacation plus 10 RTT days
The role
The data we collect and transform supports decision-making across Orus, from insurance product design and underwriting to regulatory reporting and customer engagement. As the company grows, we need a data platform that remains reliable, well documented, and easy to use.
You will join as Orus's second Data Engineer and work closely with Davi, our first Data Engineer, as a peer. Together, you will increase the Data Engineering team's capacity, reduce its dependence on a single engineer, and improve the quality of its architecture decisions. You will contribute across the platform and progressively take ownership of significant areas as your understanding of the systems and business grows.
Your responsibilities
Build and maintain a data quality and reliability framework using dbt tests, monitoring, clear ownership, and a defined severity model.
Improve the data development environment, including CI/CD for dbt, review standards, documentation, and data contracts.
Promote data culture and self-service by documenting tables, helping teams use data autonomously, and improving data marts for business needs.
Work closely with teams across Orus:
Partner with Analytics to build data marts that help the team create value from data.
Support Growth in using customer data for communication automation.
Partner early with Insurance and Engineering so data requirements, reporting models, and quality checks are ready before each product launch.
Proactively map and integrate internal and external data sources into the data warehouse, moving from reactive ingestion to a prioritized source roadmap.
Maintain and evolve event-driven data pipelines, mainly written in TypeScript and connected directly to the application backend.
Build and maintain a governed semantic layer that enables accurate AI-agent answers and faster access to business information across Orus.
What success looks like
During your first 6-12 months, you will help the team:
Increase delivery capacity and reduce dependence on a single Data Engineer.
Put an operational data qua