3 months ago
Riyadh, Saudi ArabiaMid Level
Responsibilities
- Build and optimize data pipelines to support data flow across systems and platforms.
- Manage databases and implement reliable data storage and retrieval solutions.
- Architect and deploy scalable data solutions using MS Azure, GCP, and AWS.
- Integrate machine learning models into data pipelines.
- Implement Spark and Kafka for real-time data processing and analytics.
- Collaborate with internal and external business stakeholders.
Requirements
- 2–5 years of experience as a Data Engineer.
- Proficiency in Python, SQL, and database management.
- Experience with ETL data pipelines, MS Azure, GCP, AWS, machine learning modeling, Spark, and Kafka.
- Strong problem-solving, communication, collaboration, adaptability, and business-facing skills.
- Minimum bachelor’s degree in Computer Science, Electronics, or Communication Engineering.
Benefits
- Opportunity to work on innovative data and AI projects in a rapidly growing consulting company.
- Collaborative environment focused on innovation, action, and learning.
Categories
Data Engineering
About Artefact
Artefact is a Paris‑headquartered consulting and engineering firm that builds data and AI solutions for large enterprises, from strategy and governance to platforms, MLOps, and data‑driven marketing. It operates across 27 countries and works with brands such as L’Oréal and Sanofi. The company is privately held and monetizes through consulting engagements, industrialized AI projects, and managed data services.