{"id":2020564,"url":"https://alion.io/job/exalt-company-data-engineer-confirmee-senior","title":"Data Engineer - Confirmé(e) / Senior","company":{"id":1953957,"name":"eXalt","domain":"exalt-company.com","url":"https://alion.io/company/exalt-company","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Welcome to the Jungle","truth_index":{"grade":"A","score":95,"open_postings":9,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":61,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lyon, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":40000,"max":55000,"currency":"EUR","period":"year","gross":null,"usd_annual":61890},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Confluence","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fivetran","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"GitLab","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Jira","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-14T07:41:42Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-22T00:16:03Z","board_verified":true,"closed_at":null,"days_open":37,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":37},"description":"Rejoins eXalt, une entreprise spécialisée dans les métiers de la Data et de l'IA. En tant que Consultant Data Engineer, tu seras au cœur de la progression des usages et de l'architecture données chez nos clients. Tu travailleras sur des projets techniques concrets et contribueras à la création de solutions robustes et efficaces.\nMissions\nParticiper à la conception, au développement et à la mise en œuvre de pipelines de données robustes et efficaces.\nCollaborer avec les équipes techniques et métiers pour comprendre les besoins et les enjeux d'usage business des données.\nAssurer la qualité du code, la documentation et le respect des bonnes pratiques de développement.\nProfil recherché\n* **Compétences techniques attendues :*** Solide expérience en **développement Python et SQL**\n* Expérience en construction et gestion de **pipelines de données** (batch et/ou temps réel)\n* Bonne maîtrise des concepts **d’ETL, ELT** et des outils associés (dbt, Airflow, Fivetran, etc.)\n* Expérience avec au moins un **cloud provider** (Azure, AWS ou GCP)\n* Connaissance des **modèles de données BI**, Data Lake ou Data Warehouse (ex : Snowflake, Redshift, BigQuery…)\n* Pratique des outils de versioning (GitLab, GitHub…) et de gestion de projet (Jira, Confluence)\n* Maîtrise des bonnes pratiques de développement (testing, documentation, code review…)\n**Qualités personnelles recherchées :**\n* Aisance à travailler dans un contexte Agile, avec des interlocuteurs tech et métiers\n* Goût pour le clean code, la documentation claire et le partage de savoir-faire\n* Proactivité, autonomie technique, mais vrai esprit collectif\n* Capacité à comprendre les enjeux d’usage business des données\n* Rigueur, clarté dans la communication technique comme fonctionnelle\n**Expérience requise :**\n* 3 à 6 ans d’expérience (ou plus) en tant que Data Engineer (ou équivalent)\n* Une expérience concrète en environnement cloud est un vrai plus\n* Certification cloud, dbt ou équivalente appréciée (non 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