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Data Engineer - Casablanca

Casablanca

CDI / Temps pleinSur siteLicence / Bac+3Anglais, FrançaisData / BIInformatique / IT

L’essentiel du poste

Résumé par Postule AI

Artefact seeks an experienced Data Engineer to design, build, and maintain scalable data platforms in Casablanca. You will work on impactful data and AI projects, collaborating with Data Scientists and business stakeholders to ensure data accessibility, reliability, and governance. This role requires strong SQL and Python skills, cloud platform experience (GCP, AWS, Azure), and knowledge of modern data stack technologies like BigQuery and Airflow.

Vos missions

  • Design and develop robust data pipelines and ETL/ELT processes
  • Build and maintain cloud-based data architectures
  • Create and optimize data foundations for AI use cases
  • Ensure data quality, security, and governance best practices
  • Optimize data workflows for performance and scalability
  • Collaborate with multidisciplinary teams to deliver end-to-end data solutions

Profil recherché

  • You have 3-5 years of data engineering experience with cloud platforms
  • You are passionate about solving complex data challenges and eager to learn new technologies
  • You excel at collaborating with multidisciplinary teams and communicating technical concepts
  • You have hands-on experience with modern data stack tools and software engineering best practices

Généré automatiquement à partir de l’offre. Postule AI peut se tromper : vérifiez auprès de l’employeur.

About Artefact

Artefact is a global data and AI consulting company that helps organizations transform data into business impact. We combine deep expertise in data, AI, and digital marketing to deliver innovative solutions for leading brands across industries.

Your Mission

As a Data Engineer, you will design, build, and maintain scalable data platforms that power analytics, AI, and business decision-making. Working closely with Data Scientists, Analytics Engineers, and business stakeholders, you will ensure that data is accessible, reliable, and ready to generate impact.

Key Responsibilities

  • Design and develop robust data pipelines and ETL/ELT processes
  • Build and maintain cloud-based data architectures
  • Create and optimize data foundations for AI use cases
  • Ensure data quality, security, and governance best practices
  • Optimize data workflows for performance and scalability
  • Collaborate with multidisciplinary teams to deliver end-to-end data solutions

Required Technical Skills

  • Strong proficiency in SQL and Python
  • Experience with cloud platforms (GCP, AWS, or Azure)
  • Knowledge of modern data stack technologies (BigQuery, Snowflake, Databricks)
  • Experience building data pipelines using orchestration tools such as Airflow
  • Familiarity with data modeling, data warehousing, and software engineering best practices
  • Understanding of CI/CD, version control (Git), and DevOps principles
  • Exposure to Machine Learning, MLOps, or Generative AI ecosystems

Ideal Mindset

  • Passionate about solving complex data challenges
  • Curious, proactive, and eager to learn new technologies
  • Strong problem-solving and analytical thinking skills
  • Collaborative team player with excellent communication abilities

Why Join Us?

  • Work on impactful data and AI projects for leading local and international clients
  • Join a collaborative, entrepreneurial, and fast-growing environment
  • Learn from experts across data engineering, analytics, AI, and consulting
  • Access continuous learning and professional development opportunities

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