Senior Data Engineer - Casablanca
Quick Summary
Who are we ? Artefact is a new generation of a data service provider, specialising in data consulting and data-driven information system, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.
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.
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.
- 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
- 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.
What We Offer
~1 min readLocation & Eligibility
Listing Details
- First seen
- March 26, 2026
- Last seen
- October 5, 2026
Posting Health
- Days active
- 192
- Repost count
- 0
- Trust Level
- 22%
- Scored at
- October 5, 2026
Signal breakdown
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