Leyton CognitX

Data Engineer – Big Data & Backend Development

Casablanca

CDI / Temps pleinSur site3–5 ansMaster / Bac+5AnglaisData / BIInformatique / IT

L’essentiel du poste

Résumé par Postule AI

Leyton CognitX seeks an experienced Data Engineer to design and manage enterprise data infrastructure. This role combines backend development expertise with big data engineering, requiring mastery of Python, SQL, and technologies like Spark, Airflow, and Kafka. You'll optimize data platforms, enforce governance policies, and collaborate across teams to deliver scalable solutions that drive business intelligence and organizational transformation.

Vos missions

  • Design and implement data infrastructure aligned with business challenges and requirements
  • Develop and manage data flows including ingestion, modeling, warehousing, and cleaning using big data technologies
  • Optimize and maintain big data platforms for performance, reliability, and scalability
  • Develop and enforce data governance policies to ensure data quality and security
  • Collaborate with cross-functional teams to integrate big data solutions with existing systems
  • Conduct performance tuning and troubleshooting to resolve data-related issues

Profil recherché

  • You have 3+ years of data engineering experience with proven expertise in big data platforms
  • You are proficient in Python, SQL, and multiple big data technologies like Spark and Kafka
  • You thrive in collaborative environments and can work autonomously on complex technical challenges
  • You have intellectual curiosity and proactivity to drive innovation in data solutions

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About Leyton CognitX

Leyton CognitX is the AI & Tech Advisory division of Leyton, comprising over 200 tech experts and data scientists. We deliver innovative AI and technology solutions that transform how organizations operate and compete. Our approach combines strategic advisory services with custom development to help businesses harness AI and advanced technologies.

The Role

We are seeking a Data Engineer who thrives at the intersection of backend development and data engineering. You will design and implement robust data infrastructure, manage complex data flows, and optimize big data platforms to support organizational growth and innovation.

Main Responsibilities

  • Design and implement infrastructure for managing company data aligned with business challenges
  • Develop and manage data flows including ingestion, modeling, warehousing, and cleaning using big data technologies
  • Analyze source systems to define optimal data management strategies from collection to analysis
  • Collaborate with cross-functional teams to integrate big data solutions with existing systems
  • Optimize and maintain big data platforms for performance, reliability, and scalability
  • Develop and enforce data governance policies to ensure data quality and security

Required Qualifications

  • Master's degree in Software Development, Computer Engineering, or related field
  • 3 years of experience in a similar data engineering role
  • Strong proficiency in Python and SQL with expertise in data modeling
  • Hands-on experience with big data technologies: Spark, Airflow, Kafka, RabbitMQ, ElasticSearch, MongoDB, Neo4J
  • Experience with Docker and containerization
  • Knowledge of front-end frameworks (Angular, React, or Vue.js)
  • Excellent analytical, organizational, and interpersonal skills

What We're Looking For

You demonstrate intellectual curiosity, initiative, and proactivity. You work autonomously while collaborating effectively with teams. You have proficiency in understanding complex data processing algorithms and mechanisms. Big data certifications are a plus.

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