Maîtrisez l'ingénierie des données pour construire des infrastructures data modernes et scalables.

De BigQuery à Dataflow, nos formations couvrent l'intégralité du cycle de vie de la donnée. Développez les compétences clés pour créer des pipelines robustes, optimiser les requêtes et garantir la qualité des données.

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Pourquoi se former au Data Engineering en 2026 ?

En 2026, le Data Engineering est devenu le pilier essentiel de toute stratégie data-driven. Les données sont le nouveau pétrole, mais sans pipelines robustes et architectures scalables, elles restent inexploitées. Se former au Data Engineering permet de construire les fondations solides nécessaires à l'IA, au Machine Learning et à l'analyse avancée. Maîtriser les outils modernes (BigQuery, Snowflake, dbt, Airflow) et les bonnes pratiques d'ingénierie de données est devenu indispensable pour garantir la qualité, la gouvernance et la performance des systèmes de données à grande échelle.

Pipelines Robustes

Construisez des architectures data fiables et scalables pour traiter des volumes massifs.

Qualité des Données

Garantissez la qualité et la gouvernance des données pour des insights fiables.

Performance Optimale

Optimisez les requêtes et le stockage pour réduire les coûts et améliorer la vitesse.

Intégration Simplifiée

Connectez toutes vos sources de données avec des ETL modernes et efficaces.

Qui est concerné ?

Le Data Engineering concerne tous les professionnels impliqués dans la collecte, le traitement et la valorisation des données. Des ingénieurs qui construisent les pipelines aux analysts qui les exploitent, en passant par les architectes qui conçoivent les infrastructures data.

Rôles Décideurs & Gouvernance

Chief Data OfficerData ArchitectHead of DataData Governance Manager

Rôles Ingénierie & Implémentation

Data EngineerAnalytics EngineerETL DeveloperPlatform Engineer

Rôles Analyse & Exploitation

Data AnalystBusiness Intelligence DeveloperData ScientistML Engineer

Parcourez nos formations Data Engineering par thématique

Data Engineering

Formations Data Engineering : Pipelines, ETL, BigQuery, Dataflow, Data Lakes.

Voir les formations Data Engineering

Data Analytics

Formations Data Analytics : BI, visualisation, analyses.

Voir les formations Data Analytics

Formations Populaires Data Engineering

Les best-sellers SFEIR Institute en Data.

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Introduction to Data Analytics on Google Cloud

This course is an introduction to data analytics on Google Cloud. It is designed for learners who have no prior experience with data analytics or Google Cloud. The course covers the basics of data analysis, including collection, storage, exploration, visualization, and sharing. It also introduces learners to Google Cloud's data analytics tools and services. Through video lectures, demos, quizzes, and hands-on labs, the course demonstrates how to go from raw data to impactful visualizations and dashboards.

1 j

Fondamental

Introduction to Data Engineering on Google Cloud

In this course, you learn about data engineering on Google Cloud, the roles and responsibilities of data engineers, and how those map to offerings provided by Google Cloud. You also learn about ways to address data engineering challenges.

1 j

Fondamental

Analyzing and Visualizing Data in Looker

In this course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. You learn to leverage Looker's modern analytics platform to find and explore relevant content in your organization's Looker instance. You also discover how to ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision-making.

1 j

Fondamental

BigQuery for Data Analysts

This course is designed for data analysts who want to learn about using BigQuery for their data analysis needs. Through a combination of videos, labs, and demos, we cover various topics that discuss how to ingest, transform, and query your data in BigQuery to derive insights that can help in business decision-making.

2 j

Intermédiaire

Data Integration with Cloud Data Fusion

This 2-day course introduces learners to Google Cloud's data integration capability using Cloud Data Fusion. In this course, we discuss challenges with data integration and the need for a data integration platform (middleware). We then discuss how Cloud Data Fusion can help to effectively integrate data from a variety of sources and formats and generate insights. We take a look at Cloud Data Fusion's main components and how they work, how to process batch data and real time streaming data with visual pipeline design, rich tracking of metadata and data lineage, and how to deploy data pipelines on various execution engines.

2 j

Intermédiaire

Orchestrate BigQuery Workloads with Dataform

Dataform is a service for data analysts to develop, test, version control, and schedule complex SQL workflows for data transformation in BigQuery. In this course you will explore the components of Dataform core, learn how to define tables and dependencies in SQLX, document BigQuery tables and views, understand BigQuery security settings and how to manage these with Dataform, write assertions, execute SQL workflows, and explore additional advanced use cases.

1 j

Intermédiaire

Besoin d'un programme de formation Data Engineering sur-mesure ?

Nous adaptons nos formations Data Engineering à vos besoins spécifiques : contenu personnalisé, cas d'usage métier, planification flexible, et accompagnement dédié.

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