{"id":2020774,"url":"https://alion.io/job/exalt-company-data-engineer-confirmee","title":"Data Engineer confirmé(e)","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":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lille, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":38000,"max_usd":65000,"period":"year","method":"role_country_seniority_unknown","sample_n":162},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Hadoop","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Talend","optional":false}],"status":"live","first_seen_at":"2026-08-27T07:18:48Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-18T15:14:21Z","board_verified":true,"closed_at":null,"days_open":52,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":52},"description":"Rejoignez eXalt Lille, une filiale du groupe spécialisée dans le Product & Project Management et l'expertise IT. En tant que Data Engineer confirmé(e), vous serez responsable de la conception et du développement de pipelines de données, de l'intégration et de la transformation de données provenant de différentes sources, et de la mise en œuvre d'algorithmes de traitement de données avancés. Vous collaborerez étroitement avec les équipes clients pour comprendre leurs besoins et fournir des solutions adaptées. Vous devez avoir une maîtrise d'un ou plusieurs langages de programmation, une expérience approfondie des technologies Big Data, et une expérience avérée en environnement Cloud.\nMissions\nConcevoir et développer des pipelines et des flux de données, intégrer et transformer des données provenant de différentes sources.\nCollaborer avec les équipes clients pour comprendre leurs besoins et fournir des solutions adaptées, assurer la qualité et la fiabilité des solutions développées.\nDévelopper et mettre en œuvre des algorithmes de traitement de données avancés, conseiller les équipes clients sur les solutions à mettre en place.\nProfil recherché\n**Les Prérequis :*** Maîtrise d'un ou plusieurs langages de programmation (**Python, Scala, Spark, etc**.).\n* Expérience approfondie des technologies **Big Data (Hadoop, Spark, Kafka, Talend, etc.)**\n* Expérience avérée en **environnement Cloud (AWS, GCP, ou Azure)**.\n* Solides compétences en conception et en optimisation de pipelines de données.\n* Expérience de travail en **méthode Agile**\n* Capacité à travailler de manière autonome et en équipe.\n* Excellentes compétences en communication et en résolution de problèmes.\n* Maîtrise de l’anglais (oral & écrit dans un contexte international professionnel).\n* **Les Prérequis :**\n* Maîtrise d'un ou plusieurs langages de programmation (**Python, Scala, Spark, etc**.).\n* Expérience approfondie des technologies **Big Data (Hadoop, Spark, Kafka, Talend, etc.)**\n* Expérience avérée en **environnement Cloud (AWS, GCP, ou Azure)**.\n* Solides compétences en conception et en optimisation de pipelines de données.\n* Expérience de travail en **méthode Agile**\n* Capacité à travailler de manière autonome et en équipe.\n* Excellentes compétences en communication et en résolution de problèmes.\n* Maîtrise de l’anglais obligatoire (oral & écrit dans un contexte international professionnel).\n* Les périmètres techniques de nos clients :\n**Data-platform & Cloud :** Google Cloud Platform (Big Query, Dataflow, VertexIA, Cloud Functions, Cloud Run)\nAmazon Web Services (S3, Glue, Redshift, Lambda)\n**Code Programming :** SQL, Python (Pandas, PySpark, NumPy), Scala\n**Data orchestration :** Airflow\n**Data modeling & transformation :** DBT\n**Software Delivery :** Git, Github, CI/CD, Docker","description_format":"text","description_chars":2793,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"French","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"France","iso":"FR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-07T13:18:26Z"}],"visa":[],"liveness":{"score":7,"band":"cold","label":"Long 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