Manager Data Engineer - Casablanca
At a glance
Manager-level Data Engineering role at LinkedIn Job Wrapping. Capital Tower · full-time.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Design and build data pipelines, including the processes that extract, transform and load data
- Develop cloud data architectures and keep them running reliably
- Prepare data foundations for AI applications while protecting data quality, security and governance
- Improve workflow speed and scale, then work with technical and business teams to deliver complete data solutions
What you bring
- Strong SQL and Python skills
- Hands-on experience with a cloud platform such as GCP, AWS or Azure
- Experience creating pipelines with an orchestration tool such as Airflow
- Knowledge of data modeling, warehousing and software engineering practices, plus CI/CD, Git and DevOps fundamentals
Who this fits
You’ll suit work that combines hands-on data engineering with collaboration across data science, analytics and business teams. The role centers on building dependable data systems for analytics, AI and business decisions.
From the employer
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.
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Data Engineering
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