DATA & AI ENGINEER

Degree in Computer Engineering, Data Science, Artificial Intelligence or similar areas Professional experience in data engineering and AI-related projects Strong knowledge of Python and data processing frameworks Experience with data pipelines, ETL/ELT processes and data integration Experience with Machine Learning models and data-driven solutions Knowledge of SQL and NoSQL databases Familiarity with big data and streaming technologies (Spark, Kafka or similar) is valued Experience with cloud data platforms is a plus Ability to analyse large datasets and translate data into insights Good communication and interpersonal skills Ability to work in agile teams Fluency in English

The role involves developing data pipelines and ETL/ELT processes to integrate and process data. The engineer will also implement Machine Learning models and translate large datasets into actionable insights.

Candidates must have a degree in Computer Engineering, Data Science, or AI, along with professional experience in data engineering. Proficiency in Python, SQL, and big data technologies like Spark or Kafka is required.

• SQLSouhaitée
• Analyse de donnéesSouhaitée
• Apprentissage automatiqueSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• Data processing frameworks
• ETL/ELT processes
• Data integration
• Machine Learning
• SQL
• NoSQL
• Spark
• Kafka
• Cloud data platforms
• Data analysis
• Agile methodologies
• English fluency

• Data & Analytics
• Technology
• Software
• Engineering

Formation minimale

Baccalauréat

Expérience minimale

0+ ans

Postuler avant le

6 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Entry level