3 months ago
Beirut, LebanonMid Level
Responsibilities
- Build and optimize data pipelines for reliable data flow across systems and platforms.
- Manage databases and implement data storage and retrieval solutions while maintaining data integrity.
- Architect and deploy scalable data solutions using Microsoft Azure, GCP, and AWS.
- Collaborate with teams to integrate machine learning models into data pipelines.
- Implement Spark and Kafka for real-time data processing and analytics.
- Work effectively with teams and stakeholders in a business-facing consulting environment.
Requirements
- Proficiency in Python, SQL, and database management.
- Experience with ETL data pipelines, cloud services, machine learning modeling, Spark, and Kafka.
- Strong problem-solving and solution-oriented skills.
- Excellent communication skills for collaboration with teams and stakeholders.
- Strong business acumen and interest in business-facing roles.
- Adaptability and a startup mentality.
- Similar experience in technology or consulting firms is beneficial.
- Computer Science, Electronics, or Communication Engineering degrees are commonly held by successful candidates.
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.