{"id":1684371,"url":"https://alion.io/job/alithya-ingenieur-data-gcp","title":"Ingénieur Data GCP","company":{"id":58179,"name":"Alithya","domain":"alithya.com","url":"https://alion.io/company/alithya","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":75,"open_postings":7,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-10-14T06:34:16Z"}},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sophia Antipolis, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":46000,"max_usd":77000,"period":"year","method":"role_country_seniority_unknown","sample_n":238},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"BigQuery","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Bigtable","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-09-04T12:31:23Z","employer_posted_date":"2026-09-04","last_verified_at":"2026-10-14T09:49:13Z","board_verified":true,"closed_at":null,"days_open":39,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":39},"description":"Votre rôle, votre impact\nEn tant qu’ingénieur Data GCP, vous intégrerez une équipe multisite de 5 personnes contribuant au développement du Personalization Context Service et de sa plateforme de données dans le domaine du transport aérien. Vous contribuerez à alimenter les modèles de Machine Learning avec des données de personnalisation plus pertinentes. Vous renforcerez une équipe travaillant sur les données issues de Google Tag Manager (GTM) afin d’améliorer cette source stratégique et participerez à la mise en place de la plateforme de données qui soutient ces capacités de personnalisation.\nEnvironnement technique :\nAnglais au quotidien dans un environnement international;\n\nGoogle Cloud Platform (BigQuery, Bigtable, Dataproc, Dataflow);\n\nTerraform;\n\nMise en place et administration de Kafka;\n\nGitHub Actions;\n\nJava et Python;\n\nMode de travail hybride : 1 jour par semaine sur site client et télétravail le reste du temps;\n\n1 déplacement par an sur différents sites en France et à l'étranger.\n\n Votre quotidien\nConcevoir, développer et maintenir des pipelines et traitements de données sur Google Cloud Platform;\n\nAssurer la collecte, la transformation et la mise à disposition des données nécessaires aux différents usages métiers;\n\nParticiper au développement et à l’évolution du Personalization Context Service;\n\nContribuer à l’amélioration continue de la plateforme de données et de ses composants;\n\nParticiper à l'industrialisation des déploiements et à l'automatisation des traitements;\n\nProduire et maintenir la documentation technique associée aux solutions développées.\n\n Les clés de votre réussite\nExpérience avec Google Cloud Platform (BigQuery, Bigtable, Dataproc et Dataflow);\n\nExpérience de la mise en place et de l’administration de Kafka, ainsi qu’avec Terraform et GitHub Actions;\n\nExpérience du développement avec Java et/ou Python;\n\nExcellentes aptitudes en communication, autonomie, proactivité et capacité d’adaptation.\n\nVos atouts supplémentaires\nCapacité à prendre en charge des sujets complexes de bout en bout;\n\nSolides compétences techniques;\n\nFacilité à collaborer et à s’intégrer au sein d’équipes multidisciplinaires.\n\nCompétences linguistiques\nFrançais : Avancé\n\nAnglais : 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