Apprentice Data Engineering Expert / Data Engineer M/F

Who are we?
KAISCHOOL is a higher education institution specializing in Artificial Intelligence, Data, Cybersecurity, and IT Business. It offers training from Bac+3 to Bac+5 through apprenticeships, in a hybrid mode. To develop its data activities, KAISCHOOL is recruiting an Apprentice Data Engineering Expert. You will work on our own projects and prepare your degree at our school.

Your training: Expert in Big Data Infrastructure (Bac+5)
This is a Level 7 (Bac+5) certification, registered with the RNCP under n° 37638 and awarded by Simplon. It trains experts capable of designing, deploying, and governing large-scale data systems. The training covers the entire chain, from feasibility study to data warehouse and data lake.

You will learn to:

• design and administer big data infrastructures;

• build data collection, processing, and distribution pipelines;

• create and maintain data warehouses and data lakes;

• industrialize processing with CI/CD and DevOps Data;

• deploy on public, private, multicloud, or on-premise environments;

• ensure data quality, security, and RGPD compliance;

• manage a data project from end to end.

Technologies: Python, SQL, Hadoop, Spark, Kafka, Elasticsearch, Kubernetes, cloud.

The advantages of KAISCHOOL:

• 100% free training for you, financed by the OPCO, and salary paid throughout the apprenticeship;

• hybrid pedagogy: on-site classes in Fontenay-sous-Bois and an online platform with 24/7 replays;

• 15 concrete projects per student;

• more than 30 doctors (PhDs) in AI among the instructors;

• Qualiopi certified school;

• 95% employment rate at 6 months (2024 cohort, self-declared data).

Your responsibilities:

• participate in the design and evolution of our data architecture;

• develop and maintain ingestion and transformation pipelines (ETL/ELT);

• integrate data from various sources: CRM, educational platforms, internal tools;

• contribute to the setup and population of a data warehouse;

• control data quality and monitor flows;

• automate processing and participate in cloud deployment;

• document datasets, flows, and procedures;

• work with business and data teams to make data available to them.

Profile sought:

• you have a Bac+3 in a technical field: computer science, data, applied mathematics, MIAGE, software engineering, etc.;

• you have a strong command of Python (or another language), SQL, and basic statistics;

• you are familiar with relational databases and ETL concepts;

• you are rigorous, curious, and enjoy technical projects;

• knowledge of cloud, Spark, or Docker is a plus;

• beginners are accepted.

Schedule: 4 days in the company and 1 day in training.

Recruitment process: CV review, multiple-choice test, then an interview. You will receive a response within 48 hours after the interview.

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