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Salary
≈ $64k – $130k per year (Estimated)
Location
Hybrid (Paris, France)
Seniority
Staff
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 27, 2026. First seen by Alion on Dec 6, 2019. SFEIR scores D on the Alion truth index.

Overview
Company
Impact
Profile match
SFEIR is a French technology consultancy and AI engineering company based in Neuilly-sur-Seine near Paris that designs, builds and runs custom software, cloud, data and generative AI systems for large organisations. It employs about 950 consultants across eight offices in France, Luxembourg and Belgium, holds long-standing partnerships with Google Cloud, AWS, Microsoft, Databricks and Confluent, is an Anthropic Select partner and trains more than 5,000 people a year through SFEIR Institute. It hires Java, Python, JavaScript and .NET developers, data and cloud engineers, GCP architects, DevOps and MLOps engineers, often in Nantes and Brussels.

Chez SFEIR, l’IA est notre accélérateur dans tous nos métiers - du Cloud AI-Ready aux plateformes Data modernes, en passant par le développement augmenté.

SFEIR en 30 secondes

  • 950 consultants passionnés par la tech et augmentés par l'IA

  • 8 agences en France, au Luxembourg et à Bruxelles

  • Partenaire Anthropic Preferred (+ 170 certifiés)

  • 15 ans de partenariat Google Cloud + AWS, Scaleway, S3NS, Databricks, Snowflake, Confluent, DBT

  • +90 clients actifs et +5 000 personnes formées par an via SFEIR Institute

  • +150 certifiés Google Cloud, 30 Google Authorized Trainers, 7 Google Developer Experts

Ta mission

  • Concevoir des architectures data de bout en bout (Lakehouse, Mesh) robustes, sécurisées et scalables sur Google Cloud

  • Piloter l'implémentation de solutions ETL/ELT complexes avec dbt sur BigQuery, et orchestrer les workflows via Cloud Composer

  • Définir les bonnes pratiques de développement (CI/CD, tests, Data Quality) et assurer le monitoring / l'observabilité des plateformes

  • Faire grandir les profils plus juniors : revues de code, pair-programming, montée en compétences - et être le référent technique auprès des clients

  • Moderniser les stacks de nos clients et intégrer les services GenAI (Vertex AI) dans les pipelines de production

Ton terrain de jeu

  • Stack : Google Cloud (BigQuery, Cloud Storage, Dataflow, Cloud Composer), Python, SQL, dbt, Terraform, Vertex AI

  • SFEIR AI : un parcours dédié pour maîtriser l'IA générative et le coding agentique - et pour l'enseigner à ton équipe

Ce qu'on cherche chez toi

  • 5 ans minimum d'expérience en tant que Data Engineer

  • Une expérience professionnelle confirmée sur Google Cloud

  • Tu sais prendre du recul sur une architecture et justifier tes choix technologiques face à des enjeux business complexes

  • Tu as l'âme d'un mentor : tu aimes transmettre, faire des revues de code qui apprennent quelque chose

Ton évolution

  • Un Engineering Manager dédié qui t'accompagne

  • Une trajectoire au choix : Data Architect / Senior Staff Engineer → Senior Principal Engineer ou Engineering Manager

  • Formation continue avec accès à Google Cloud Skills Boost et aux certifications

  • Le programme AI Champions : 6 mois pour rejoindre notre cercle d'ambassadeurs IA

  • Google Cloud Next, Data Cloud Summit : tu y vas, et parfois tu y parles

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