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Cloud Data Engineer H/F
Build and maintain cloud data pipelines and platforms for clients using AWS, Snowflake, Databricks, and Airflow, primarily in Python and PySpark.
Tech Lead Data Engineer / Databricks
Tech Lead Data Engineer designs and scales a cloud-based data platform on Azure/Databricks, coaches junior engineers, and builds robust data pipelines with monitoring and CI/CD.
Data Engineer H/F Nantes
Build and maintain real-time data pipelines and analytics platforms using Spark, Kafka, and Hadoop for a banking/finance client, deploying with DevOps tooling and agile practices.
Data Engineer H/F
Design and build end-to-end data pipelines, from ingestion to production, for enterprise clients using SQL, Python/Java/Scala, and cloud or big-data stacks.
Data Engineer Databricks Confirmé – Télétravail & Formation
Build and optimize end-to-end data pipelines on Databricks and Spark, handling ingestion, modeling, storage, and exposure while mentoring peers and running DevOps practices.
Data Engineer H/F
Design and build end-to-end data pipelines and warehouses for enterprise clients, ensuring data quality and governance while translating business needs into robust data solutions.
Data Engineer (H/F)
Build and maintain robust data pipelines (ETL/ELT) in Python and SQL, model analytics-ready warehouses, and deliver semantic layers for dashboards and AI agents.
Senior Data Engineer Databricks
Senior Data Engineer building scalable data pipelines and Lakehouse architectures on Databricks and AWS, using Spark, Python, and ML tools to deliver end-to-end data solutions for enterprise clients.
Data Engineer - F/H
Build and maintain scalable, secure data pipelines and architectures for enterprise clients, using tools like Spark, Scala, and GCP.
Lead Data Engineer
Lead a team to design and build scalable data pipelines and platforms for clients, advising on cloud and big-data tech while enforcing DevOps, FinOps, and governance best practices.
Data Engineer
Builds and optimizes scalable data pipelines for a Madrid-based bank, using Spark, Scala, Python, Airflow, and cloud migration from Hadoop.
Data engineer
Builds and maintains a modern data pipeline for a French employee savings/retirement platform, using Python, Spark, and Dagster to load and serve structured data for marketing analytics.
Ingénieur SRE Senior / Expert DevOps & Observabilité (IT) / Freelance
Senior SRE/DevOps engineer to ensure 24/7 uptime of critical banking platforms by automating deployments, building observability stacks (Prometheus, Grafana, Loki, Tempo), and enforcing SLO/SLI/SLA policies.
AWS Data Engineer — Pipelines & Cloud Automation
Build and optimize AWS data pipelines for enterprise clients, focusing on automation, cloud-native tooling (Spark, Airflow, Terraform), and scalable data platforms to enable analytics and business insights.
Ingénieur infrastructure DevOps / Terraform (6 à 9 ans d'exp) H/F
Build and govern Terraform-based infrastructure-as-code pipelines across multi-cloud environments, standardizing and securing deployments while mentoring teams on best practices.
Ingénieur(e) Techlead DevOps - Île-de-France
Techlead DevOps engineer managing non-production and production environments, CI/CD pipelines, and release processes for Java applications using tools like Jenkins, Docker, and Kubernetes.
Ingénieur(e) Cloud & DevOps H/F
Engineer cloud and DevOps infrastructure for enterprise clients, automating hybrid cloud (Azure/AWS) deployments with Terraform and Kubernetes, and running CI/CD pipelines.
IFIP/ATT - PSE - D13 - ESI13 - Centre OPS - Ingénieur(e) DevOps H/F
Build, deploy, and run cloud-based projects using Linux, Jenkins, Terraform, and Ansible; document workflows in Confluence and track tasks in JIRA.
Ingénieur de Production Applicative / DevOps (H/F)
Build and run containerized applications in OpenShift/AWS, automate CI/CD pipelines, and ensure 24/7 production stability for enterprise clients using Ansible, Jenkins, and monitoring stacks.
Finaxys recrute un Ingénieur de production Devops / CDI / H/F
Build and maintain cloud-based DevOps pipelines for large financial institutions, handling CI/CD, Kubernetes clusters, and incident response in a 24/7 production environment.