Senior Data Databricks Engineer

Design and develop high-performance, scalable data pipelines on Databricks. Leverage advanced Apache Spark features via PySpark for big data processing. Participate in data modeling, performance optimization, and the implementation of best practices. Collaborate with Data Science, BI, and business teams to meet business needs. Integrate solutions into CI/CD environments using tools such as Git, Azure DevOps, and Terraform. Provide technical mentorship to junior profiles and contribute to technology monitoring.

A Databricks or cloud certification is a plus.

Quality of life at work: Possibility of teleworking in Morocco as well as internationally and autonomy in the organization of your daily life, hybrid missions according to your preferences.

Continuous learning: access to training and certifications dedicated to your technology, personalized support and structured integration pathway.

Diverse projects and high impact: work with major accounts in diversified sectors with stimulating business and technological challenges.

Cosyst me d'expertise: benefit from personalized technical support and active integration into our third-party SM communities.

Desired Candidate Profile

Diploma m (e) of a Bac+5 in computer science or equivalent.

Proven experience (5 years) in a similar position.

Proven experience in data engineering with Databricks.

Proficiency in PySpark, SQL, and cloud environments (Azure, AWS or GCP).

Knowledge of orchestration tools (Airflow, Azure Data Factory, etc.).

Analytical skills, autonomy, rigor and ability to work in a team.