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Artefact

Data and AI-driven business transformation consulting

Manager Data Engineer

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeCasablanca, MoroccoNo salary listedIn-person

About the Job

Requirements

  • 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 continuous integration and continuous delivery (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.
  • Strong stakeholder management and communication skills.
  • Comfort presenting complex technical topics to business audiences.

Responsibilities

  • 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 with technical and executive stakeholders.
  • Stay current with Cloud, Data Engineering, and AI technologies.
  • Promote engineering best practices and reusable frameworks.
  • Contribute to internal communities, technical events, and innovation initiatives.

Desired Qualifications

  • Previous experience leading teams in consulting or large-scale transformation projects.
  • Professional proficiency in English.

About the Company

Artefact

Data and AI-driven business transformation consulting

Artefact helps organizations use data and AI to transform their operations and decision-making. It provides end-to-end services across the data value chain, from strategy and data platform implementation to governance, advanced analytics, and sector-specific AI tools, delivered through consulting and project execution. The company works with industries like FMCG, retail, and luxury goods to optimize marketing performance, customer engagement, and ROI. Artefact differentiates itself by combining consulting expertise with data science and AI capabilities across multiple regions, offering integrated, sector-focused solutions rather than just advisory services. The main goal is to help clients adopt data-driven approaches to improve efficiency, decision quality, and marketing results at scale.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Paris, France
Founded
1998

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