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Data Engineer at Ippon Technologies in Lille builds and optimizes data pipelines on clients' data platforms, working with business teams and data scientists to industrialize data flows and ensure scalability of models and solutions, while deploying cloud infrastructure using infrastructure-as-code.
Cloud & DevOps engineer at Ippon Technologies' Nantes agency, consulting for clients on cloud transformation projects: building and automating CI/CD pipelines, provisioning and operating cloud environments (AWS primarily, plus Azure/GCP), and spreading DevOps/SRE practices using Kubernetes (EKS), Helm, infrastructure-as-code, and observability tools like Datadog, Grafana and OpenTelemetry.
Cloud & DevOps engineer in Ippon Technologies' Nantes agency, guiding clients through cloud transformation: building CI/CD pipelines, provisioning cloud environments, and designing AWS/Azure/GCP solutions while spreading DevOps and SRE best practices. Stack includes Terraform, GitLab CI, Argo CD, EKS, and Datadog.
Qui sommes-nous ? Depuis 2002, IPPON accompagne ses clients dans leur transformation digitale et technologique, du Software Engineering à la Data/IA, Cloud & DevOps, en passant par l'architecture et le produit.…
Ippon Technologies is hiring a Data consultant in Paris to build and industrialize cloud-based data platforms, working with business teams and data scientists to take data pipelines through to production. The role also includes contributing to internal/external events and sharing technical write-ups via blogs.
Principal Data Engineer designs and builds scalable cloud data platforms for clients using Snowflake, AWS/Azure, and Databricks, leading teams and advising on data architecture and ETL pipelines.
Build and maintain cloud-based data pipelines and platforms for clients using Snowflake, Databricks, and cloud-native tools, while collaborating with data scientists to industrialize their models.
Builds cloud-based data platforms using Spark and AWS for clients, collaborating in a fast-paced agency environment.
Build and maintain cloud-based data pipelines and infrastructure for clients, collaborating with data scientists and using Python, Spark, Scala, AWS, or GCP.
Lead a team of data engineers to build scalable data pipelines and cloud infrastructure (AWS/GCP/Azure) using Spark, Kafka, and Terraform, while collaborating with data scientists to industrialize models.
Build and maintain data pipelines, cloud infrastructure, and support data scientists in industrializing their models using technologies like Spark, Kafka, and Snowflake.
Lead Data Engineer builds and scales cloud-based data pipelines and platforms for clients using Python, Spark, or Scala, deploying full infra-as-code in AWS/GCP/Azure.
Design and build scalable data pipelines and cloud-based data platforms for clients, using tools like Terraform, Spark, Kafka, and Snowflake.
Lead a team building scalable data pipelines and cloud infrastructure, collaborating with business stakeholders to drive data-driven decisions and best practices.
Build and maintain cloud-based data pipelines and infrastructure for clients, using Spark, Kafka, and cloud tools to support ML and AI projects.
Lead a team building cloud data pipelines and infrastructure-as-code for a consultancy, collaborating with data scientists to industrialize their models and deploy production-grade data workflows.
Build and maintain cloud-based data pipelines and infrastructure for a tech consultancy, using AWS, GCP, or Azure.
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