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Manager Data Engineer

Rapidez Writers
localisationMorocco
Décryptage du poste par Postule AI

About Artefact

Artefact is a new generation data service provider specializing in data consulting and data-driven information systems. With 1000 employees across 20 offices, we transform data into business impact through state-of-the-art technologies, lean AI agile methodologies, and cohesive teams of consultants, data analysts, data scientists, and engineers.

Your Responsibilities

  • Innovate: Work with consultants, data scientists, and engineers to identify client needs and define innovative solutions across the data value chain.
  • Build: Take ownership of solutions from conception to implementation, managing both design and execution while optimizing performance and scalability.
  • Train: Coach team members, share knowledge, and participate in training sessions with partners like Google and Amazon.
  • Communicate: Present at events and conferences, sharing knowledge and success stories with diverse audiences.

Your Profile

  • Software engineering background with DevOps/DevSecOps experience
  • Proficiency in Python and SQL databases (PostgreSQL, MySQL, SQLServer)
  • Experience with cloud technologies (GCP, AWS) and big data tools (Spark, Beam, Airflow, Docker, Kubernetes)
  • Ability to set up and deploy ML models
  • Strong command-line skills and familiarity with managed cloud databases (BigQuery, Firestore, Redshift)
  • Team management capability with ability to coach juniors and anticipate project risks
  • Excellent communication skills to translate technical concepts for business stakeholders
  • Fluent English

Your Mindset

  • Curious: Always seeking innovative solutions and involved in the entire data value chain
  • Evangelist: Passionate about sharing knowledge and participating in training and certifications
  • Entrepreneurial: Bringing solutions and new ideas to your team

Why Join Us

  • Work on innovative projects with cutting-edge technologies
  • Collaborate with highly competent teams ensuring mutual growth
  • Strong career progression opportunities in both technical and management tracks
  • Modern tech stack including Python, Spark, GCP, AWS, Azure, Kubernetes, and Airflow

Cette description d'emploi a pu être reformatée par Postule pour améliorer sa lisibilité et sa présentation. Le contenu et les informations restent fidèles à l'offre d'emploi originale. .