Data Engineer expérimenté(e)
Core
Architecting robust data pipelines and cloud-native data platforms to transform raw data into business insights and support generative AI workflows.
Role type
Senior Data Engineer (AI-Native)
Builds
Scalable MLOps platforms, real-time data pipelines, and cloud-native data architectures for retail and enterprise clients.
Domain
Data Engineering, MLOps, Generative AI, Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Python, SQL, dbt, Airflow, BigQuery, Snowflake, Databricks, MLOps tools, Data Quality, Cost Optimization
Preferred skills
Generative AI experimentation, Google Cloud/Azure architecture, Retail domain knowledge
Technologies
Python, SQL, dbt, Airflow, BigQuery, Snowflake, Databricks, Google Cloud, Azure, Anthropic
Responsibilities
Architecting robust data pipelines, managing BigQuery/Snowflake/Databricks environments, ensuring data quality and governance, optimizing cloud costs, integrating generative AI into data workflows.
Seniority
Senior, hands-on IC
