data engineer

À proposGarantme est une Insurtechbasé à Paris qui construit et distribue des solutions d'assurance simples, innovantes et compréhensibles afin de simplifier la gestion locative dans l'immobilier.Notre activité s'articule autour de trois produits principaux :La caution, qui consiste à se porter garant pour des locataires afin de leur faciliter l'accès au logement.La garantie de loyer impayé (GLI), qui protège les propriétaires contre les impayés et les dégradations.Un logiciel SaaS dédié aux agences immobilières, permettant de digitaliser le parcours locataire : suivi des candidatures par appartement, évaluation de l'éligibilité financière, centralisation des pièces justificatives, et bien plus encore.En 8 ans, Garantme est devenu le leader sur le marché de l'immobilier, en assurant90 000 locationsen France et en sécurisant les loyers de plus de5000 agencesimmobilières et résidences étudiantes.Avec déjà trois levées de fondsau compteur, l'équipe continue de renforcer sa tech, lancer de nouveaux produits d'assurance et accélérer son déploiement commercial.Objectif 2026: atteindre une croissance annuelle de 30%.Descriptif du posteGarantme's data team is seeking a high quality data engineer to boost its forces. We are looking for someone who will have a huge impact on designing and delivering data analytics/science/engineering solutions.A good profile for this position is someone who has good skills and experience in data analytics (closer to the business side of things - reporting in SQL or python scripts), and broader skills in data engineering (data pipelines, deployments, data flows, Python based applications, LLMs/AI work).Main Responsibilities IncludeCollaborate with department leads to design and deliver key business analysesSupport the insurance team by conducting actuarial analyses in coordination with our partner insurers and the Head of InsuranceLead the development and integration of AI-powered featuresEnsure the long-term scalability of our technical stack by working with developers and QAs on data model evolution and new feature implementationPartner with PMs and designers to challenge the product and push for the best possible user experienceWork with fellow tech team members to improve daily operations, internal processes, and the overall delivery workflowThe TeamThe data team currently consists of three members, each involved in multiple areas of the data ecosystem.We collaborate daily with other tech teams—including developers, QAs, the automation and support teams, and designers—to build new features and improve internal processes.Our main business stakeholders are the Risk and Finance teams, with whom we develop tools and reports to support strategic, data-driven analysis.Mid-sized to larger projects are tackled using what we call "pizza teams". A pizza team is created by picking a PM, data team members, developers and QAs. This temporary team's job is to stay focused, share information and ship the project.The Team Works Really Hard To Keep High StandardsBest practices in deliveryRobust code reviewsFluid communication, share knowledge and information at the right timeShip fast and fail fast - keep a high velocity to allow innovation or discovery on the product side. Note technical debt and resolve in a timely fashion.Alternative design thinking - engineer good temporary solutions when needed to balance quality / time to prodData team projectsRental ad matching algorithmRisk clustering and differentiated pricingLLMs for legal document verification and digitizationRevenue forecasting and financial balance reportingProfil recherchéMinimum of 3 years of professional experience in data (not including internships or apprenticeship)High knowledge of SQLGood level of PythonExperience with dbt and Google Cloud Platform is a plusExperience with AI frameworks is a plusStrong communication and analytical skills are a must, being able to work in teams of varying sizes, backgrounds and technical expertises is critical for successProcess de recrutementHR interview with Anne-Lise - Head of People1st screening / date interview with data team members2nd advanced tech interview with date team membersClosing interview with Cyril - CTOInformations complémentairesType de contrat : CDIDate de début : 05 janvier 2026Lieu : ParisExpérience : > 3 ansTélétravail partiel possible