Data Engineer transforming legacy on - premises systems to cloud - native architectures for advanced data analytics. Collaborating with teams to build efficient data solutions using Python and AWS.
About the role
- 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.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Engineering Academy focused on Snowflake and Databricks for professionals interested in expanding their technical capabilities. Fully remote with future office work in Monterrey or Saltillo after completion.
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