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Artefactlinkedin

Manager Data Engineer - Casablanca

Capital Tower, Boulevard Mly Youssef, Casablanca, Maroc

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hirly's read of this role

Role family
Data & ML
Seniority
Lead / management
Country
MA
Work mode
On-site / unstated
First seen by hirly
21 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Job description: Data Engineer at Artefact

Who Are We?

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. Our teams work at the intersection of technology, strategy, and business to create measurable value for our clients.

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 include:

Designing and developing robust data pipelines and ETL/ELT processes.

Building and maintaining cloud-based data architectures.

Creating and optimizing data foundations for AI use cases.

Ensuring data quality, security, and governance best practices.

Optimizing data workflows for performance and scalability.

Collaborating with multidisciplinary teams to deliver end-to-end data solutions.

Your 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.

Focused on delivering business value through Data & AI

Tech Skills

Strong proficiency in SQL and Python.

Experience with cloud platforms (GCP, AWS, or Azure).

Knowledge of modern data stack technologies (e.g., BigQuery, Snowflake, Databricks).

Experience building data pipelines using orchestration tools such as Airflow.

Familiarity with data modeling, data warehousing, and software engineering best practices.

Exposure to Machine Learning, MLOps, or Generative AI ecosystems

Understanding of CI/CD, version control (Git), and DevOps principles.

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.

Be part of a company where innovation, ownership, and teamwork drive success.

Original posting on Artefactlinkedin's site ↗

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