Manager Data Engineer - Casablanca

Artefact is a global leader in data and AI consulting, helping organizations transform data into measurable business impact. We combine deep expertise in data, artificial intelligence and digital transformation to solve complex business challenges and accelerate innovation.

With 1,700+ experts across 25+ offices worldwide, Artefact supports leading international companies in designing and deploying cutting-edge data platforms, AI solutions and cloud architectures that create long-term value.

At Artefact Casablanca, you'll join one of our fastest-growing hubs, working alongside highly skilled Data Engineers, Data Scientists, Analytics Consultants and Cloud Experts on ambitious international projects. Our culture is built around excellence, collaboration, continuous learning and entrepreneurship.

If you are passionate about technology, leadership and delivering business impact through data, we'd love to meet you.

As a Manager Data Engineering, you will play a strategic role in delivering large-scale Data & AI transformation programs while leading and growing high-performing engineering teams.

You will combine technical expertise, people leadership and client engagement to build modern, scalable and cloud-native data platforms.

• Lead the design and delivery of modern cloud data platforms.
• Define scalable architectures aligned with business and technical requirements.
• Ensure engineering excellence, code quality, security and performance.
• Drive best practices across Data Engineering, DevOps and MLOps.

• Lead, mentor and coach a team of Data Engineers.
• Support consultants in their technical development and career progression.
• Foster a collaborative, high-performance and knowledge-sharing culture.
• Participate in recruitment, onboarding and capability building.

• Act as a trusted advisor for clients throughout their data transformation journey.
• Understand business challenges and translate them into scalable technical solutions.
• Lead technical workshops and architecture discussions.
• Communicate effectively with both technical and executive stakeholders.

• Stay at the forefront of Cloud, Data Engineering and AI technologies.
• Promote engineering best practices and reusable frameworks.
• Contribute to Artefact's internal communities, technical events and innovation initiatives.

We're looking for passionate leaders who combine strong technical expertise with excellent communication and people management skills.

• Strong experience designing and implementing modern Data Platforms.
• Excellent knowledge of Python and SQL.
• Strong experience with cloud ecosystems such as Google Cloud Platform, AWS and/or Microsoft Azure.
• Experience with distributed data processing technologies including Spark, Beam or Databricks.
• Expertise with orchestration tools such as Airflow or Composer.
• Experience building CI/CD pipelines and Infrastructure as Code.
• Solid understanding of Docker and Kubernetes.
• Good knowledge of DevOps, DataOps and MLOps practices.
• Experience with relational and cloud-native databases.
• Understanding of API development and microservices architecture.

• Proven experience leading Data Engineering teams.
• Ability to mentor engineers and foster technical excellence.
• Strong project management and delivery capabilities.
• Ability to anticipate risks and make strategic technical decisions.
• Excellent stakeholder management and communication skills.
• Comfortable presenting complex technical topics to business audiences.

• Engineering degree or Master's in Computer Science, Data Engineering or related field.
• 7+ years of experience in Data Engineering.
• Previous experience leading teams in consulting or large-scale transformation projects.
• Professional proficiency in English (French is a plus).

Work on large-scale Data & AI transformation programs for leading international organizations across multiple industries.

Build modern cloud-native solutions using the latest technologies and engineering best practices.

Lead talented teams, shape technical strategy and influence major transformation programs.

Access technical certifications, internal academies, conferences and continuous learning opportunities with major cloud providers.

Whether your ambition is technical expertise, people management or client leadership, Artefact offers clear and accelerated career paths.

Join an international community of passionate experts who believe in knowledge sharing, innovation and collective success.

• Python
• SQL
• Apache Spark
• Airflow / Composer
• Google Cloud Platform (BigQuery, Dataflow, GKE, Composer, Cloud Storage)
• AWS (EKS, Lambda, Glue, RDS, Redshift)
• Microsoft Azure (Databricks, Data Factory, Synapse)
• Docker
• Kubernetes
• Terraform
• GitHub Actions / GitLab CI
• Ansible
• Redis
• Kafka