Manager Data Engineer - Casablanca

3 нед. назад

МароккоSenior

etldata pipelinesclouddata governancedata quality

Design, build, and maintain scalable data platforms for analytics, AI, and business decision-making.

As a Data Engineer, you will design, build, and maintain scalable data platforms that power analytics, AI, and business decision-making. Working closely with Data Scientists, Analytics Engineers, and business stakeholders, you will ensure that data is accessible, reliable, and ready to generate impact.
Key responsibilities include:
Designing and developing robust data pipelines and ETL/ELT processes.
Building and maintaining cloud-based data architectures.
Creating and optimizing data foundations for AI use cases.
Ensuring data quality, security, and governance best practices.
Optimizing data workflows for performance and scalability.
Collaborating with multidisciplinary teams to deliver end-to-end data solutions.

Work on impactful data and AI projects for leading local and international clients.
Join a collaborative, entrepreneurial, and fast-growing environment.
Learn from experts across data engineering, analytics, AI, and consulting.
Access continuous learning and professional development opportunities.
Be part of a company where innovation, ownership, and teamwork drive success.

is a global data and AI consulting company that helps organizations transform data into business impact. We combine deep expertise in data, AI, and digital marketing to deliver innovative solutions for leading brands across industries. Our teams work at the intersection of technology, strategy, and business to create measurable value for our clients.
Passionate about solving complex data challenges.
Curious, proactive, and eager to learn new technologies.
Strong problem-solving and analytical thinking skills.
Collaborative team player with excellent communication abilities.
Focused on delivering business value through Data & AI
Strong proficiency in SQL and Python.
Experience with cloud platforms (GCP, AWS, or Azure).
Knowledge of modern data stack technologies (e.g., BigQuery, Snowflake, Databricks).
Experience building data pipelines using orchestration tools such as Airflow.
Familiarity with data modeling, data warehousing, and software engineering best practices.
Exposure to Machine Learning, MLOps, or Generative AI ecosystems
Understanding of CI/CD, version control (Git), and DevOps principles.