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Data Engineer GCP

SFEIR • French: C1 • Custom Software Development • AI Consulting & Integration • Python • SQL • ETL/ELT • 1 year ago
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Salary
≈ $52k – $88k per year (Estimated)
Location
Hybrid (Paris, France)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Feb 19, 2025. SFEIR scores D on the Alion truth index.

Overview
Company
Impact
Profile match

SFEIR

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.
sfeir.com • HQ: Neuilly-sur-Seine, France • IT Training & Certification • Cloud Consulting & Migration • AI Consulting & Integration • Custom Software Development • IT Consulting & Digital Transformation • 201-500 employees • Est. 2011
Tech stack of SFEIR

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 et développer des pipelines de données robustes et scalables sur GCP

  • Implémenter des solutions ETL/ELT avec dbt sur BigQuery, en mode ingénierie logicielle : versionné, testé, revu

  • Orchestrer des workflows data avec Cloud Composer

  • Mettre en place le monitoring, l'observabilité et la Data Quality des plateformes data

  • Participer à la modernisation des architectures data de nos clients - et à l'intégration des 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

  • SFEIR AI : un parcours dédié pour maîtriser l'IA générative et le coding agentique - écrire du dbt et du SQL complexe assisté par IA, ça se travaille

  • Des sujets GenAI concrets : brancher Vertex AI et des LLMs sur des pipelines de production.

Ce qu'on cherche chez toi

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

  • Une expérience professionnelle confirmée sur Google Cloud

  • Un vrai niveau en Python et SQL - et l'envie d'écrire de la data comme on écrit du code

  • Tu es passionné(e) par la Data et l'IA : tu fais de la veille, tu as des projets perso

Ton évolution

  • Un Engineering Manager dédié qui t'accompagne

  • Une trajectoire claire : Lead Data Engineer → Data Architect

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

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

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