Engineering tech lead data & ai - Casablanca

PROFILE : 

We are looking for a strong manager with a solid Data & AI background, capable of combining leadership, technical expertise, and team coordination. The ideal candidate demonstrates ownership, autonomy, and the ability to operate in a distributed environment. He/she is comfortable managing local challenges while fostering team cohesion and alignment with international stakeholders. A strong mindset around delivery excellence, collaboration, and continuous improvement is expected.

Key responsibilities:

Lead and support ETL/Data Engineering teams in their day-to-day delivery activities Act as the main point of contact for Engineering Managers and Tech Leads based in Paris Ensure alignment with AFA frameworks, standards, and best practices Provide technical guidance and mentorship to team members Support teams in resolving delivery challenges and technical blockers Contribute to building a strong Data & AI culture within the local team Foster team cohesion and a sense of belonging to the France Tech Centre Manage local operational challenges related to distributed team setup Support sourcing activities and contribute to identifying relevant talents Ensure continuous upskilling of the team on tools, frameworks, and methodologies Promote delivery excellence and adherence to quality standards
Technical Skills :

Must Have Skills

Strong experience in Data Engineering and ETL processes Solid understanding of Data & AI ecosystems Experience with modern data platforms (e.g., Spark, Databricks or equivalent) Good knowledge of data pipelines, data transformation, and data integration Experience in leading technical teams or acting as a Tech Lead Familiarity with agile methodologies and delivery frameworks

Nice to have

Experience working in international/distributed environments Exposure to AI/ML use cases and data-driven applications Knowledge of cloud environments (Azure or equivalent) Experience with AFA frameworks or similar governance models

Soft Skills:

Strong leadership and team management capabilities Excellent communication skills (both local and international context) Ability to work in a distributed and multicultural environment Problem-solving and decision-making mindset Strong sense of ownership and accountability Ability to coach and mentor team members Adaptability and resilience in complex environments

  Education

Master’s degree in Computer Science, Data Engineering, or related field Relevant certifications in Data Engineering, Cloud, or Agile are a plus