Généré automatiquement par Postule AI à partir de l’offre.
About the Role
Join A2MAC1's Data & Insights team in Casablanca as a Data Science Engineer. You will design, build, and maintain scalable data pipelines and architectures while enabling high-performance analytics and machine learning workflows. Working closely with engineering, product, and AI/ML teams, you'll deploy advanced data solutions using the Microsoft Fabric ecosystem to unlock business insights and support strategic decision-making.
Key Responsibilities
- Design, build, and maintain robust ETL/ELT data pipelines using Microsoft Fabric tools
- Develop scalable data warehouse architecture for analytics and reporting
- Collaborate with cross-functional teams (Data Science, AI, Product, Engineering)
- Ensure data quality, security, and compliance across the data lifecycle
- Integrate structured and unstructured data from multiple sources
- Leverage Python and open-source libraries to enhance data workflows
- Monitor and improve performance of data processing pipelines
- Apply best practices in data governance and version control
Required Skills & Experience
- Hands-on experience with Microsoft Fabric ecosystem: OneLake, Data Factory, Data Warehouse, Synapse
- Strong proficiency in Python, SQL, and data transformation libraries (Pandas, PySpark)
- Proven experience designing and implementing ETL/ELT pipelines
- Solid understanding of data modeling and performance optimization
- 3+ years of experience in a production-grade environment
- Fluent in English (written and verbal)
Nice to Have
- Familiarity with machine learning workflows and tools (Azure ML, Scikit-learn, MLflow)
- Experience with Power BI and data visualization best practices
- Exposure to DevOps concepts and tools (CI/CD, Azure DevOps)
- Relevant certifications (DP-203, DP-900, or equivalent)
- Fluency in French
About A2MAC1
A2MAC1 is the leading provider of automotive benchmarking and data analytics worldwide. With 700+ employees across Europe, Asia, and North America, we help OEMs and suppliers understand their competitive landscape and make better strategic decisions through reliable, structured, and actionable insights.
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