Senior Data Engineer at Capgemini designing and optimizing scalable data architectures on Databricks and GCP. Collaborating across teams to transform business needs into reliable technical solutions.
Responsibilities
Design, develop and optimize scalable data architectures on Databricks and/or Google Cloud Platform (GCP).
Implement and productionize robust data pipelines (batch & streaming).
Define and maintain engineering standards: best practices, security, governance, data quality.
Collaborate with Data Science, Product and Architecture teams to translate business requirements into reliable technical solutions.
Ensure performance, availability and resilience of data platforms and processing.
Participate in migration, modernization or redesign of existing data environments to Databricks or GCP.
Provide technical mentorship to junior Data Engineers and contribute to the team's skill development.
Document solutions and ensure continuous improvement of technical processes.
Requirements
Proven experience (5+ years) as a Data Engineer, ideally in advanced cloud environments.
Proficiency with Databricks technologies (Spark, Delta Lake, Unity Catalog, MLflow) or GCP services (BigQuery, Dataflow, Dataproc, Pub/Sub…).
Strong skills in Python, SQL and distributed frameworks (Spark, Beam…).
Expertise in designing data architectures: Data Lake, Lakehouse, modern Data Warehouse.
Knowledge of CI/CD best practices, versioning and automation (Git, Jenkins, Cloud Build…).
Experience with DevOps/MLOps environments: Docker, orchestration (Airflow, Cloud Composer…), monitoring.
Solid foundations in data security and governance.
Ability to analyze and solve complex problems and propose reliable technical solutions.
Good interpersonal skills, collaborative mindset, autonomy and attention to quality.
Benefits
Quality of work-life: Remote work options within Morocco and internationally and autonomy in organizing your daily work; hybrid assignments according to your preferences.
Continuous learning: access to technology-specific training and certifications, personalized support and a structured onboarding path.
Varied, high-impact projects: work with large accounts across diverse sectors with stimulating business and technological challenges.
Expert ecosystem: receive personalized technical support and active integration into our professional communities.
Data Warehouse Modelling Engineer designing and maintaining data models using Data Vault 2.0 for iGaming industry. Collaborating with stakeholders and optimizing data models in a hybrid work environment.
Senior Data Engineer driving impactful data solutions for the climate logistics startup HIVED's core data platform. Collaborating with cross - functional squads to enhance analytics and delivery.
Data Engineer developing and maintaining CRE forecasting infrastructure for Cushman & Wakefield. Collaborates with senior economists and technical teams to ensure high - quality data solutions.
Data Engineer at PwC, engaging with Azure cloud services to enhance data handling and integrity. Responsibilities include pipeline optimizations, documentation, and collaboration with stakeholders.
Data Engineer Manager at PwC focusing on building data infrastructure and solutions. Leading data engineering projects to transform raw data into actionable insights and drive business growth.
Junior Data Engineer at OneMarketData focusing on data quality and integrity in financial datasets. Collaborating with senior analysts and assisting in data management and analysis tasks.
Senior Data Engineering Analyst developing and implementing data solutions. Collaborating in a diverse environment focused on data processing and analysis for clients' digital transformation.