Open roles that use Google Cloud Platform for cloud infrastructure.
What is GCP? — the glossary entry →
Freelance Data/ML Engineer mission in Lille, France: design and industrialize data pipelines (Python, BigQuery, dbt, Kafka) and ML pipelines for personalization and recommendation models (deep learning, embeddings) on Google Cloud Platform, with MLOps practices (ZenML, Docker, Kubernetes, Terraform) deployed within a client's multidisciplinary team.
Data Engineer in Paris who builds data foundations and industrializes data pipelines on Google Cloud (BigQuery) for clients, working on varied projects from BI to GenAI while ensuring data quality and security.
Senior Data Engineer at Brief IA in Paris, strengthening the Data & Analytics team serving the luxury sector: design and industrialize data solutions on GCP and Dataiku DSS, build batch and streaming pipelines, and ensure quality, governance, monitoring, and DevOps/CI-CD practices while supporting business teams with analytics and AI use cases.
Freelance senior data engineer role in Paris, placed via staffing firm Brief IA for a major luxury-sector client. Day to day: building and industrializing GCP data pipelines and Dataiku DSS workflows with Python, SQL, Terraform and CI/CD, while supporting business teams' analytics and AI use cases.
Senior data engineer designing, building, validating and documenting data pipelines on Google Cloud Platform, with hands-on BigQuery and dbt work. Fully remote after an initial phase of frequent travel to Annecy; requires an experienced, autonomous profile.
Data Engineer at Synechron, a consulting firm serving banking, insurance and capital markets clients in Paris. Day to day: design, build and industrialize ETL/ELT data pipelines and data models using Python, SQL and tools like Spark and Airflow, with cloud environments (AWS/Azure/GCP), plus quality controls, CI/CD and documentation.
Brief IA seeks an experienced Data Engineer in Paris to design and industrialize production data pipelines on GCP (BigQuery, Pub/Sub) and Dataiku DSS using Python/SQL. Day to day: building pipelines, supporting business teams' analytics and AI use cases, and handling architecture, optimization, and CI/CD deployment with Terraform.
Senior Data Engineer for Data Factorii (via SKIILS) who designs and industrializes large-scale cloud data pipelines on GCP. Day to day: advanced SQL, BigQuery and dbt data models, Airflow orchestration, plus data quality and cost optimization.
Confirmed data engineer at Corail Analytics in Paris who builds and hands over cloud data platforms for clients: ingestion pipelines, infrastructure as code, orchestration, monitoring, and security. Core stack: GCP/AWS, Terraform, CI/CD, cloud warehouses (BigQuery/Snowflake/Redshift), SQL/Python, with growing dbt and generative-AI work.
Data engineering consultant helping clients evolve their cloud analytics platforms: designing data lakes/warehouses, building integration and transformation flows, and optimizing cloud data architectures across varied sectors. Core stack is Microsoft Fabric and/or Databricks, with SQL and Spark, plus relational and cloud data platforms.
Senior Data Engineer at Groupe Sii (IT services) in Lille, helping clients migrate to a group data platform and industrialize data solutions. Day-to-day: building data pipelines with Python, SQL and Spark, Power BI reporting, and cloud deployments on AWS/GCP/Azure.
Data engineer at Groupe INGENA, a consulting and integration firm serving banking, insurance, and finance clients, working from its Paris 9th office. The role involves building and industrializing big-data pipelines and streaming flows, data modeling and governance, dashboards, and ML/DL models using Scala/Python/Java, Spark, Hadoop, and AWS/GCP/Azure.
Application support & DevOps engineer at SII Sophia-Antipolis: run and improve critical production services — incident investigation, log/flow analysis, monitoring, automation of operations and deployments, plus backup/restore work on Azure and GCP using Docker, Unix/Shell, GitLab CI, SQL and REST APIs.
Senior data engineer at consulting firm MP DATA, on a defense-sector mission, designing, building and maintaining robust, scalable data pipelines. Day-to-day covers ingestion, transformation, quality control and industrialization using Python/Java, Spark, Kafka, AWS/GCP/Azure, Snowflake or Databricks, Airflow/Dagster, dbt and CI/CD.
Systems & DevOps engineer role in Puteaux (recruited by Kgressources for a large enterprise): deploying and maintaining Linux/Windows environments, migrating infrastructure to public cloud (AWS/Azure/GCP), building CI/CD pipelines from scratch, and automating with Terraform, Ansible, GitLab CI, Docker and Kubernetes.
DevOps engineer at Thales in Toulouse building and securing CI/CD pipelines, infrastructure-as-code and Linux/containerized environments for satellite ground-segment software. Works across dev, infrastructure and cybersecurity teams in a DevSecOps approach using Terraform, Ansible, Python/Bash, Docker/Kubernetes and tools like GitLab CI or Jenkins.
DevOps software engineer at Thales Alenia Space in Toulouse, building and securing the CI/CD chains, infrastructure-as-code and Linux/containerized environments for ground-segment space software. Works at the crossroads of dev, infra, cybersecurity and validation teams using Terraform, Ansible, Docker/Kubernetes, GitLab CI/Jenkins and cloud platforms.
DevOps engineer at ADVEEZ, a ~50-person IoT/SaaS company tracking airport ground-support vehicle fleets. You'll operate a managed Kubernetes platform on OVHcloud, automate provisioning and updates with IaC and GitLab CI/CD, build a multi-region architecture, and support ISO 27001 certification, using PostgreSQL, Prometheus, Grafana and Vault.
Application support & DevOps engineer at Groupe SII's Sophia-Antipolis site keeping critical production services running (RUN): automation, resilience, and support with close ties to business and security teams. Core stack is Unix/Linux, Docker, and cloud (GCP/Azure).
DevOps/SRE engineer with French IT-services group Groupe Alliance, to work with a major retail-sector client in Paris: keep infrastructure available, diagnose production incidents, industrialize deployments, and run monitoring/logging/alerting. Core stack: Linux, Docker/Kubernetes, multi-cloud (AWS/Azure/GCP), Terraform/Ansible, Grafana/Dynatrace, with on-call rotation.