Data Engineer
A2MAC1 Open · verified Oct 24, 2026 At a glance
Mid-level Data Engineering role at A2MAC1. Casablanca.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and run ETL/ELT pipelines with Microsoft Fabric, bringing data from structured and unstructured sources together
- Shape data warehouse designs for analytics and reporting, with attention to scale and query speed
- Work with data science, AI, product and engineering colleagues to deliver data solutions
- Check data quality, security and compliance, and strengthen governance and version control
- Use Python and open-source libraries to improve workflows, then track and tune pipeline performance
What you bring
- At least three years working in a production-grade environment
- Practical experience with Microsoft Fabric, including OneLake, Data Factory, Data Warehouse or Synapse
- Strong Python and SQL skills, plus data transformation tools such as Pandas or PySpark
- You have built ETL/ELT pipelines and understand data modeling and performance tuning
- You can work fluently in English, in writing and conversation
Who this fits
This mid-level, individual-contributor role suits someone who can build production data pipelines and collaborate across data, AI, product and engineering teams. The position is based onsite in Casablanca and reports to the Engineering Manager.
From the employer
We are seeking an experienced Data Science Engineer to join our growing Data & Insights team in Casablanca. In this role, you will be responsible for developing and maintaining scalable data pipelines and architectures, while enabling high-performance analytics and machine learning workflows across the organization.
You will work closely with engineering, product, and AI/ML teams to design and deploy advanced data solutions using the Microsoft Fabric ecosystem. Your expertise will help unlock the value of our data, driving business insights and supporting strategic decision-making through robust, production-grade data engineering.
This is a key position within our global AI and Data Engineering community, reporting directly to the Engineering Manager.
GROUP ACTIVITY
A2MAC1 is the leading provider of automotive benchmarking and data analytics worldwide.
Our solutions help OEMs and suppliers understand their competitive landscape, accelerate development, and make better strategic decisions based on reliable, structured, and actionable insights.
Through our digital platforms, data services, consulting expertise, and AI-driven solutions, A2MAC1 supports the world’s top automotive players.
With 700+ employees across Europe, Asia, and North America, A2MAC1 continues its strong growth, driven by innovation and customer success.
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
Requirements
PROFILE & SKILLS
Must-Have
- Hands-on experience with Microsoft Fabric ecosystem: OneLake, Data Factory, Data Warehouse, Synapse
- Strong proficiency in Python, SQL, and data transformation libraries (e.g. Pandas, PySpark)
- Proven experience designing and implementing ETL/ELT pipelines
- Solid understanding of data modeling and performance optimization
- Excellent problem-solving skills and attention to detail
- 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 is a plus
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