{"id":682389,"url":"https://alion.io/job/sfeir-data-engineer-experimentee","title":"Data Engineer expérimenté(e)","company":{"id":53038,"name":"SFEIR","domain":"sfeir.com","url":"https://alion.io/company/sfeir","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"D","score":48,"open_postings":45,"ghost_share":0.867,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-29T05:49:05Z"}},"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":{"min":48000,"max":null,"currency":"EUR","period":"year","gross":true,"usd_annual":53881},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Claude","optional":false},{"name":"Context Engineering","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scaleway","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Transformers","optional":false}],"status":"live","first_seen_at":"2023-03-09T08:24:23Z","employer_posted_date":"2023-03-09","last_verified_at":"2026-10-29T13:11:01Z","board_verified":true,"closed_at":null,"days_open":1330,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":1329},"description":"LILLE | AI-Native Group\nSharp Tech. Real Impact.\n\nCe qu'on recherche chez toi\nTu n'as pas peur de :\n- Architecturer des pipelines data robustes avec Python, SQL, dbt et Airflow ;\n- Jongler entre BigQuery, Snowflake, Databricks et les outils MLOps ;\n- Penser Data Quality, gouvernance, orchestration et optimisation de coûts ;\n- Transformer la donnée brute en insights business qui comptent ;\n- Expérimenter avec l'IA générative pour révolutionner tes workflows data.\nTu veux comprendre comment ça marche, pas juste faire tourner des scripts.\nLes projets sur lesquels tu pourrais t'amuser\n- Construire des plateformes MLOps complètes sur Google Cloud ou Azure ;\n- Créer des algorithmes de machine learning pour optimiser les campagnes retail ;\n- Développer des pipelines temps réel pour le pilotage business de grands groupes ;\n- Intégrer l'IA générative dans tes workflows data pour automatiser et accélérer ;\n- Concevoir des architectures data cloud-native scalables.\nBref, du concret, pas des ETL qui finissent par planter en prod.\n Pourquoi nous rejoindre ?\nManagement technique : ton Engineering Manager code aussi, sur de vrais projets clients.\n\nRecrutement exigeant : nos tests \"PlayOffs\" te positionnent expert·e dès ta première mission - et fixent ton salaire sur tes skills réels (le process).\n\nApprentissage à fond : SFEIR Institute, 15 ans avec Google Cloud (Partner of the Year), AWS, Microsoft, Databricks, Snowflake… certifs et labs inclus.\n\nCulture libre : agile, décentralisée, sans chichis.\n\nCommunauté qui vit : événements tech chaque semaine, 71 groupes thématiques, cercles engagés (Inclusivité, Green IT…).\n\nTa trajectoire, ton choix : IC, management, Trainer, Speaker, Évaluateur·trice PlayOffs, Comité carrière annuel.\n\nL'après SFEIR : 83 % de nos alumni filent dans des boîtes où la tech compte.\n\n Combien tu vas gagner chez SFEIR ?\nÀ l’issue des PlayOffs, nos tests techniques, on sera en mesure de déterminer tes compétences, et surtout ton potentiel afin de te proposer une rémunération adaptée.\nPour te donner une idée, la rémunération moyenne au sein de SFEIR Lille pour un(e) data engineer expérimenté(e) avec ton expérience démarre à 48 000€ brut par an\nTon salaire sera ensuite revalorisé chaque année.\nTes compétences, rien que tes compétences !-\nQui sommes-nous ?\nSFEIR est un catalyseur d'innovation technologique à la pointe de la révolution IA. Nous transformons les organisations en créant un impact tangible et durable - non pas en suivant les tendances, mais en les industrialisant à côté de nos clients.\nNotre conviction : l'IA agentique bien orchestrée permet une accélération massive sur les cycles de livraison. Les organisations qui prendront de l'avance ne seront pas celles qui adopteront l'IA le plus tôt, mais celles qui sauront l'industrialiser avec méthode. C'est exactement ce que nous faisons à travers notre approche du Context Engineering , de notre partenariat avec Anthropic..\nCe qui fait notre force\nTu veux builder des trucs puissants en quelques clics ? :\nPartenaire Anthropic Select au sein du volet Services du Claude Partner Network depuis le 1er juin 2026 !\n\n15 ans de partenariat avec Google Cloud, Partner of the Year à plusieurs reprises, et un écosystème de partenaires premium (AWS, Microsoft, Scaleway, S3NS, Databricks, Snowflake, Confluent, dbt…)\n\nEt Lille dans tout ça ?\nDepuis 2014, SFEIR Lille, c’est :\nUne team de 100 techs passionnés et augmentés par l’IA,\n\nUne centaine de projets locaux à fort impact,\n\nUne forte présence sur la scène tech (50 confs en 2025 ),\n\nDes locaux à 5 min des gares,\n\nDes afterworks, des Meetups, des formations, des talks … bref, de la vie.\n\nEn pratique\nLieu : chez nos clients sur la métropole lilloise,\n\nTélétravail : 2 à 3 jours par semaine,\n\nMatos Premium : MacBook Pro ou Dell, en fonction de votre préférence.\n\n La suite des événements\nCall avec Lisa, Gaëlle ou Khadija (nos recruteuses lilloises),\n\nEntretien RH personnalisé,\n\nPlayOffs (tests techs en pair prog avec 3 Sfeirians)\n\nRencontre avec la team business,\n\nFinal avec notre boss local, Delphine VILLAEYS.\n\n Ready to build the future ?\nLet’s go ! 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