Manager Data Engineer - Casablanca
- Level
- Lead
Not stated in the posting: salary, work type, visa.
Open. First seen 2 October 2026.
About the role
Who are we?
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.
Your Role
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.
Your Responsibilities
Lead Data Engineering Projects
- 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.
Manage & Grow Teams
- 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.
Partner with Clients
- 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.
Drive Innovation
- 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.
Your Profile
We're looking for passionate leaders who combine strong technical expertise with excellent communication and people management skills.
Technical 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.
Leadership Skills
- 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.
Preferred Qualifications
- 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).
What You'll Find at Artefact Casablanca
Impactful International Projects
Work on large-scale Data & AI transformation programs for leading international organizations across multiple industries.
Cutting-Edge Technologies
Build modern cloud-native solutions using the latest technologies and engineering best practices.
Leadership Opportunities
Lead talented teams, shape technical strategy and influence major transformation programs.
Continuous Learning
Access technical certifications, internal academies, conferences and continuous learning opportunities with major cloud providers.
Fast Career Growth
Whether your ambition is technical expertise, people management or client leadership, Artefact offers clear and accelerated career paths.
A Collaborative Culture
Join an international community of passionate experts who believe in knowledge sharing, innovation and collective success.
Our Tech Stack
- 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
Why Join Artefact Casablanca?
Because you'll join one of the world's leading Data & AI consulting firms, work alongside exceptional engineers, tackle ambitious international projects and have the opportunity to shape the future of Data Engineering while accelerating your own career.
Ready to build the future of Data & AI with us?
Join Artefact Casablanca.
What this role asks for
Standard for data engineering roles
AWS · Azure · CI/CD · GCP · Python · SQL · Spark
Common in data engineering postings at any company.
Read against Artefact's other open postings on this site.
The team: Data Engineering HIRES STEADILY
This role is one of 28 open in Data Engineering. 2 were posted in the last 30 days and the oldest in February: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Python (22 of 28), Azure (21 of 28), GCP (20 of 28), AWS (19 of 28), SQL (18 of 28), Machine Learning (15 of 28), Spark (13 of 28)
OTHER ROLES ON THIS TEAM
- Data Engineer Informatica posted Oct 7
- Data Engineer Manager posted Sep 22
- Senior AI & Agentic Engineer – Expression of Interest (Future Opportunities) posted Sep 4
- Manager, Forward Deployed Engineering posted Aug 27
- SAP Developer posted Aug 26
- AI & Agentic Engineer, Senior posted Aug 20
- Senior Forward Deployed Engineer (Gemini Enterprise) posted Aug 15
- Forward Deployed Engineer posted Aug 10
- Director, AI & Agentic Engineering posted Jul 13
- Senior Data Engineer posted May 1
- Senior AI/ML Engineer posted Apr 16
- Junior Engineer posted Feb 13
- Data Engineer posted Jan 29
- Data Engineer (GCP, Azure) posted Jan 6
- Data Engineer posted Aug 19
- Data Engineer posted Aug 19
- Cloud Architect Engineer (GCP) posted Jul 15
- Cloud Architect Engineer (Azure) posted Jul 15
- Cloud Architect Engineer (Azure) posted Jul 15
- Data Architect posted Feb 27
- Data Engineer posted Feb 19
- Senior Data Engineer (Indonesia, Jakarta) posted Jan 9
- Junior Data Engineer - Casablanca posted May 17
- Senior Data Engineer - Casablanca posted Nov 9
- Data & Software Engineer (m/f/d) posted Aug 5
- Data & Software Engineer (m/f/d) posted Jul 28
- Intern Data Engineer posted Feb 8
From the team and dates on Artefact's own job board.
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