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Open nowPosted 590 days ago

Data Engineer GCP

sfeir48 open roles

Where
Paris
Work mode
Hybrid
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Your applicationOpen nowData Engineer GCPsfeir · Paris

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on sfeir's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market. sfeir postings stay open a median of 1 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 590 days ago

sfeir median: 1 days open

The posting

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 Select (+ 100 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
  • 140 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

SFEIR collecte vos données à caractère personnel afin de traiter votre candidature. Pour en savoir plus sur la gestion de vos données personnelles et pour exercer vos droits, nous vous invitons à consulter notre Politique de confidentialité.

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  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on sfeir's form

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    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

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    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

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  6. The interview in your calendar

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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