DATA & IA

Data Engineer

Get a recognized diploma, support until you are hired and a flexible job that is in high demand.

Part-time (9 month)
Pantheon sorbonne
AWS certified

Program overview

SPRINT 1

Programming

40h
  • Python
  • Advanced Python
  • Web Scraping
SPRINT 2

Advanced Tools

20h
  • Bash
  • Git & Github
SPRINT 3

Big Data Variety

50h
  • SQL
  • MongoDB
  • ElasticSearch
  • Neo4j
  • Hbase
SPRINT 4

Batch & Streaming

50h
  • PySpark
  • Scala Spark
  • Hadoop & Hive
  • Kafka
  • Streaming with Spark
SPRINT 5

Practical Data Warehousing

20h
  • Snowflake
  • Data Warehousing with DBT (ELT)
SPRINT 6

Cloud AWS

70h
  • AWS Solutions Architect
SPRINT 7

Machine Learning

60h
  • Statistics
  • Data Visualization
  • Machine Learning
  • MLFlow
SPRINT 8

DevOps & Virtualization

50h
  • Docker
  • API and Security
  • Kubernetes
SPRINT 9

CI/CD & Monitoring

40h
  • Unit Testing with Python
  • Airflow
  • GitLab
  • Prometheus & Grafana

Hybrid learning format

We chose this hybrid approach because it combines the autonomy of an interactive platform with personalized masterclasses, minimizing dropouts and improving knowledge retention.

Learning periods on the Learn platform

This time supports learning the core concepts of each sprint module and applying them immediately through interactive exercises inspired by real-world cases, available anytime.

Masterclasses led by an expert instructor

Masterclasses led by experts and delivered via videoconference provide interactive discussions to deepen online modules through advanced topics.

Dowload the brochure

Data Engineer goals

The role of a Data Engineer is to design tools and solutions for processing and analysing large volumes of data. By the end of the course, students will be able to:

Elaborate

Develop a technical architecture for data management.

Pilot

Deploying a massive data analysis solution incorporating artificial intelligence.

Process

Process and manage large volumes of data to support analysis and decision-making.

Key metrics

95,6%
Success rate

A high percentage of learners successfully validate the training and acquire the expected data engineering skills.

93,05%
Completion rate

Most participants complete the training thanks to structured guidance and continuous mentoring.

99%
Satisfaction rate

Learners highlight the quality of the program and the practical value of the skills acquired.

Testimonials

Course Report
4.7/5
67 reviews
Google
4.8/5
458 reviews
Trustpilot
4.7/5
335 reviews
Contact
Qualiopi

All our training programs are AZAV-certified, officially recognized, and eligible for funding through the Bildungsgutschein from the Employment Agency or Jobcenter.

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