3 months ago
Riyadh, Saudi ArabiaMid Level / Senior
Responsibilities
- Build and optimize data pipelines for efficient data flow across systems and platforms.
- Manage databases and implement reliable data storage and retrieval solutions.
- Architect and deploy scalable data solutions using Azure, GCP, and AWS.
- Integrate machine learning models into data pipelines.
- Use Spark and Kafka for real-time data processing and analytics.
- Collaborate with internal and external business stakeholders and delivery teams.
Requirements
- 2–5 years of experience as a Data Engineer.
- Proficiency in Python, SQL, and database management.
- Experience with ETL data pipelines, Azure, GCP, AWS, machine learning modeling, Spark, and Kafka.
- A minimum of a bachelor's degree in Computer Science, Electronics, or Communication Engineering.
- Proven problem-solving skills and a solution-oriented mindset.
- Excellent communication skills and experience working with business stakeholders.
- Strong business acumen, adaptability, and a startup mentality.
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.