{"id":2026563,"url":"https://alion.io/job/licornesociety-analytics-engineer","title":"Analytics Engineer","company":{"id":3908658,"name":"Licorne Society","domain":"licornesociety.com","url":"https://alion.io/company/licornesociety","size_band":"11-50","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Welcome to the Jungle","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Paris, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":51000,"max":61000,"currency":"EUR","period":"year","gross":null,"usd_annual":68641},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub","optional":false},{"name":"Metabase","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-01T07:55:16Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-12T07:03:48Z","board_verified":true,"closed_at":null,"days_open":41,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":41},"description":"Rejoins un SaaS français leader de la fiscalité immobilière en tant qu'Analytics Engineer. Tu seras rattaché au Head of Data & Performance et tu auras un impact direct sur l'ensemble des équipes (Marketing, Sales, Finance). Tu travailleras avec une stack technique moderne, comprenant Snowflake, Airbyte, dbt Cloud, Metabase et GitHub.\nMissions\nParticiper à la conception et à la mise en œuvre de solutions de Data Engineering pour rendre la donnée disponible et fiable.\nCollaborer avec les équipes Marketing, Sales et Finance pour comprendre leurs besoins en matière de données et fournir des analyses pertinentes.\nUtiliser des outils tels que Snowflake, Airbyte, dbt Cloud et Metabase pour orchestrer et visualiser les données.\nProfil recherché\nLe Projet\nNotre client est un SaaS français leader de la fiscalité immobilière (rentable et en forte croissance).\nRattaché(e) directement au Head of Data & Performance, ton rôle sera de rendre la donnée disponible, fiable et actionnable pour l'ensemble des équipes (Marketing, Sales, Finance).\nTes Missions\nData Engineering (50%) :\nBusiness Intelligence (50%) :\nLa Stack Technique\nDatawarehouse : Snowflake\nETL / Orchestration : Airbyte / dbt Cloud\nBI : Metabase\nVersioning : GitHub\nLe Profil Recherché\nFormation : Bac+5 (École d'ingénieur ou équivalent universitaire).\nExpérience : Minimum 2 ans en Data Engineering.\nCompétences clés : Excellente maîtrise de SQL, de la modélisation de données, ainsi que des outils dbt, Airbyte et GitHub.\nUn plus (mais pas obligatoire) : Une première expérience sur Snowflake et Metabase.\nSoft skills : Rigueur, autonomie, forte sensibilité business et esprit de synthèse.\nPourquoi les rejoindre ?\nImpact direct : Une vision transverse à 360° sur le business (du marketing à la finance) en lien direct avec les décideurs.\nProgression rapide : Un onboarding structuré pour te donner l'ownership complet de la stack data rapidement.\nLes Conditions\nRémunération : 51k€ /61k€\nLocalisation : Paris (3 jours de 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