Data Engineer

About Us

At Atyos, we operate in a pure Cloud environment, allowing you to work on environment automation and CI/CD pipeline implementation on the AWS Cloud platform.

We place great importance on curiosity and technological watch, and we offer time and resources for everyone to train and certify themselves on the technologies we use or will use.

As part of our growth, we are recruiting a Data Engineer to work on AWS cloud environments, with challenges related to data ingestion, transformation, and reliability.

Your Missions

As an experienced Cloud Data Engineer, you will be involved in high-impact missions:

• Design and deploy modern data platforms on AWS (Data Lake, Lakehouse, Data Mesh)
• Implement robust and scalable data pipelines (batch & streaming)
• Industrialize data infrastructure via Infrastructure as Code (Terraform)
• Implement data governance strategies: cataloging, data quality, lineage
• Deploy and operate MLOps environments in conjunction with Data Science teams
• Contribute to defining data best practices within our practice
• Support our clients in maturing their data usage

Technical Stack

• Cloud: AWS (S3, Glue, Athena, Redshift, EMR, Lake Formation)
• Data Platform: Databricks, Unity Catalog
• Orchestration & Transformation: Apache Airflow, dbt, AWS Step Functions, AWS Glue
• Infrastructure as Code: Terraform
• MLOps: MLflow, ZenML / Kubeflow, SageMaker, Databricks Model Serving
• Governance: AWS Lake Formation, Unity Catalog, data lineage & quality