3 months ago
Casablanca, MoroccoSenior
Responsibilities
- Identify client needs and define innovative data and machine-learning solutions with consultants, data scientists, creatives, and engineers.
- Own solutions from conception through implementation while optimizing performance and scalability.
- Create infrastructure and platforms, collect data, industrialize machine-learning models, build REST APIs, and contribute to test-driven development and CI/CD.
- Deploy machine-learning models provided by data scientists and work with Big Data and microservices technologies.
- Coach junior team members, share knowledge, deliver training, and participate in conferences and events.
- Communicate technical concepts to business-oriented stakeholders, prioritize work, meet deadlines, and raise project risks.
- Anticipate risks during the design phase and support diversified project teams.
Requirements
- Studies in software engineering and experience with DevOps or DevSecOps.
- Strong Python skills and intimate knowledge of SQL databases, including PostgreSQL, MySQL, and SQLServer.
- Experience with cloud technologies such as GCP or AWS and familiarity with managed cloud databases and indexation systems.
- Experience with Spark, Beam, Airflow, and Docker; Kubernetes is an asset.
- Strong command-line skills in *nix environments.
- Experience setting up and deploying machine-learning models supplied by data scientists.
- Ability to manage a team, coach juniors, identify development areas, prioritize tasks, respect deadlines, and anticipate project risks.
- Good English proficiency and ability to communicate technical topics to business-oriented profiles.
Benefits
- Innovative projects and technologies.
- Competent, collaborative team with knowledge sharing and co-progression.
- Strong data department growth and progression opportunities across technical and management tracks.
- Exposure to a recent technology stack including Python, Spark, Google Cloud Platform, AWS, Microsoft Azure, Ansible, Docker, Kubernetes, Redis, and Airflow.
Tech Stack
Amazon RedshiftAnsibleApache AirflowApache BeamApache SparkAWSAzureDatabricksDockerElasticsearchGoogle BigQueryGoogle Cloud PlatformKubernetesMicrosoft SQL ServerMySQLPostgreSQLPythonRedis
Categories
Data Engineering
About Artefact
Artefact is a Paris‑headquartered consulting and engineering firm that builds data and AI solutions for large enterprises, from strategy and governance to platforms, MLOps, and data‑driven marketing. It operates across 27 countries and works with brands such as L’Oréal and Sanofi. The company is privately held and monetizes through consulting engagements, industrialized AI projects, and managed data services.