{"id":2023158,"url":"https://alion.io/job/kanbios-lead-data-engineer-2","title":"Lead Data Engineer","company":{"id":2555515,"name":"Kanbios","domain":"kanbios.fr","url":"https://alion.io/company/kanbios","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":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","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":60000,"max":75000,"currency":"EUR","period":"year","gross":null,"usd_annual":84395},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EC2","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Docker","optional":false},{"name":"FinOps","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Grafana","optional":false},{"name":"HBase","optional":false},{"name":"IAM","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"Least Privilege","optional":false},{"name":"MLFlow","optional":false},{"name":"Prometheus","optional":false},{"name":"Snowflake","optional":false},{"name":"Tekton","optional":false},{"name":"Terraform","optional":false},{"name":"Zero Trust","optional":false}],"status":"live","first_seen_at":"2026-02-09T10:35:56Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-13T16:57:22Z","board_verified":true,"closed_at":null,"days_open":246,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":245},"description":"Rejoignez une entreprise en forte croissance en tant que Lead Data Engineer. Vous serez responsable de la conception et de la mise en œuvre d'architectures de données robustes et évolutives. Vous dirigerez l'équipe technique, optimiserez les systèmes de données et collaborerez étroitement avec les équipes produit, technique et business. Vous participerez également à la production de contenus, à la construction de propositions commerciales et à la veille technique.\nMissions\nAccompagner et conseiller les clients dans la mise en place de pipelines, de plateformes de données et de transformations de données.\nOrienter les clients dans le choix de la meilleure technologie pour répondre à leurs problématiques, en tenant compte de la performance, des coûts, de la fiabilité.\nS’assurer de la qualité des données en mettant en place des processus de nettoyage, de transformation et d’intégration des données.\nProfil recherché\nProfil recherché\nNous recherchons un(e) candidat(e) titulaire d’un Master en ingénierie ou informatique (type Epita, Epitech ou équivalent) avec 5 ans d’expérience en tant qu’ingénieur data ou développeur, dont au moins 2 ans sur des projets Cloud et la création de plateformes de données pour de grandes organisations ou entreprises tech.\nLes soft skills essentielles :\nÉcoute active : Comprendre les besoins et les préoccupations des parties prenantes pour mieux y répondre\n\nLeadership : Diriger et motiver une équipe technique.\n\nCommunication : Expliquer des concepts complexes aux parties prenantes non techniques de manière claire.\n\nAdaptabilité : S’ajuster aux environnements de travail changeants.\n\nEsprit critique : Évaluer les situations de manière critique et prendre des décisions basées sur des données.\n\nCuriosité : Rechercher constamment de nouvelles connaissances et innovations dans le domaine des données.\n\nLes hard skills fondamentaux :\nDevOps :\n\nCI/CD (exemple: Tekton, github action, Argo, jenkins…), IaC (Terraform), Docker, K8S > >\nData plateformes :\n\nArchitecture\nPerformances\nMonitoring\nCloud :\n\nMaîtrise de la gestion des ressources avec Terraform (Connaissance dʼoutils comme CloudFormation est un plus.)\nCompétences en monitoring (Prometheus, Grafana), gestion des logs (ELK stack), gestion des droits (IAM dans AWS, Azure AD).\nScaling des ressources 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