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The Data Engineer will design, industrialize, and maintain data pipelines within a secure AWS and Snowflake cloud environment. The role involves collaborating with Data, DevOps, and Security teams to ensure high-quality data ingestion and processing.
As a Data Engineer, you will design and maintain data pipelines, model databases, and build data architectures to support business decision-making. You will work with technologies like SQL and Python to optimize data flows and create reporting dashboards.
The Data Engineer will design and deploy robust data pipelines on GCP and BigQuery to support large-scale data platforms. The role involves data transformation and ensuring data reliability and governance within a collaborative team in Lille.
Stellantis is seeking a Senior Data Engineer to design and maintain scalable data platforms using AWS and Databricks. The role involves developing data pipelines with Spark, Scala, and Python while providing technical leadership and mentoring to the engineering team.
Stellantis is seeking a Data Engineer to design, develop, and maintain scalable data pipelines and ETL/ELT processes. The role involves using Python, Spark, and cloud technologies to ensure data reliability and support data-driven decision-making across the organization.
The Senior Data Engineer will design and develop batch and streaming data pipelines using Spark, while managing data collection, storage, and system monitoring within an agile team.
As a Data Engineer at Davidson, you will design, develop, and maintain scalable ETL/ELT data pipelines and data warehouses on Google Cloud Platform. You will work with technologies like BigQuery, Python, SQL, and Airflow to support data-driven projects for various clients.
The AI & Data Engineer will design and industrialize data and AI solutions, focusing on building data pipelines, deploying cloud infrastructure on Azure, and integrating LLM and RAG models. The role involves maintaining platforms through CI/CD, testing, and continuous monitoring.
As a Data Engineer at Size Up Consulting, you will design and maintain data pipelines, model databases, and create dashboards to support business decision-making. The role requires strong proficiency in SQL and Python to optimize data flows and build modern data architectures.
Data Engineer at Unnest, a Data & Tech consulting firm, deploying full data stacks (pipelines, data modeling, BI enablement) at client sites like PMU, L'Oréal, and Decathlon using cloud platforms, SQL, and Python.
Onyx-Conseil is seeking a Data Engineer to build and scale high-volume data pipelines using a modern data stack including Databricks, S3, and Lakehouse architecture. The role focuses on data collection, transformation, and quality within an international product-oriented environment.
The Senior Data Engineer will design and maintain massive data pipelines and distributed architectures with a focus on real-time processing. The role involves collaborating with cross-functional teams to ensure system reliability, observability, and scalability using tools like Airflow, Kafka, and Python.
Stellantis is seeking a Data Engineer to design and maintain scalable data pipelines for reporting and analytics. The role involves writing Python and PySpark code to optimize ETL/ELT workflows and data models to support data-driven decision-making.
As a Senior Data Engineer at Size Up Consulting, you will design and maintain data pipelines, model data warehouses, and create dashboards to support business decision-making. The role requires strong proficiency in SQL and Python to optimize data flows and architectures for various clients.
Tilencia is hiring an AI and DevOps consultant to design, deploy, and secure large-scale generative AI solutions. The role focuses on cloud architecture, CI/CD pipelines, and ensuring the performance and security of AI infrastructure.
Production/DevOps Engineer at a consulting firm serving French banking and insurance clients, managing and optimizing production systems, implementing CI/CD, and ensuring service stability using Linux (Red Hat), Oracle, and MySQL.
L'ingénieur de production DevOps assure le maintien en conditions opérationnelles, l'automatisation des déploiements et la supervision d'infrastructures critiques pour un client du secteur bancaire. Le rôle s'appuie sur des technologies comme Linux/Windows, Jenkins, Ansible, Docker et divers outils de supervision et d'ordonnancement.
The DevOps Production Engineer will manage operational maintenance, application deployment, and incident resolution for large-scale banking clients. The role focuses on industrializing production processes through scripting and managing job scheduling workflows.
The DevOps Engineer will maintain and evolve CI/CD pipelines, automate processes using Bash and Python, and manage performance testing suites. The role requires strong expertise in Jenkins and the ability to collaborate across development, operations, and architecture teams.
The Cloud AWS & DevOps Engineer will lead the technological transformation to AWS and implement DevOps practices to ensure scalable and high-performance architectures. The role involves close collaboration with development teams using tools like Terraform, Docker, and Kubernetes.
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