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Production engineer at Kéoni Consulting supporting ALM applications and financial monitoring for the Orion project — handling migrations, environment builds, and deployment configuration using DevOps tools. Core stack: Windows/Linux, XLDeploy/XLRelease, and Control-M, with professional English required.
Data Engineer with Capgemini (posted via Groupe Talents Handicap) based in Toulouse, working on a strategic data platform centered on Skywise (Palantir Foundry). The role focuses on building reliable, high-performance data pipelines in close collaboration with business and technical teams in an industrial, international setting.
Data Engineer at Pyl.tech building data foundations for clients, mainly on Google Cloud and BigQuery, with ~90% of time on client projects and 10% internal improvements. Day to day covers data ingestion, modeling, security, governance, plus GenAI/ML use cases, production deployment, and skills transfer.
SRE/DevOps engineer at consulting firm Astek, on a client mission in Strasbourg: diagnose performance issues, right-size Kubernetes/OpenShift resources, build observability dashboards with Prometheus/Grafana/Kibana, and automate infrastructure with Terraform and Ansible across Linux/Windows, while helping design IaaS/PaaS services.
Rivercell in Paris is hiring a Bioinformatics Data Engineer to build end-to-end pipelines turning single-cell omics and imaging data into analysis-ready, versioned datasets that scale to tens of terabytes. The role works closely with ML scientists, biologists, chemists, and engineers on data quality, harmonization, and reproducibility.
Astek Lille is hiring a data expert to design and deploy data solutions for a client's marketing function: building ML/AI algorithms, automating decision processes, structuring data into a datamesh, and creating impactful visualizations with Python, Airflow, BigQuery, and Power BI/Looker in an Agile environment.
Public cloud engineer in Hardis Group's Cloud Expertise Center, designing, deploying and operating public cloud environments (Azure, GCP) for clients: architecture design, automated deployments with Ansible/Terraform, IaaS/PaaS cloud projects, monitoring and backup tooling, FinOps optimization, and level-3 production incident support.
Production engineer (DevOps & infrastructure expert) at Kéoni Consulting, a French IT consulting firm serving banking, finance, insurance and industry. Joins the support team to manage the application lifecycle of the ORION platform — from deployment to incident audit — with a focus on security and robust architectures.
Linux systems & DevOps engineer at the Lyon R&D hub of a global reality-capture/measurement technology company: standardize and secure Windows/Linux and Proxmox infrastructure, own CI/CD, automate with Ansible/Terraform, and build Docker/Kubernetes practices for a 15-person algorithm team.
Staff Data Engineer on Doctolib's AI team, building end-to-end data pipelines (ingestion, warehousing, monitoring) with Python, Dagster, DBT, and BigQuery on GCP to power AI features for healthcare professionals and patients. Requires 7+ years of data engineering experience including production AI/ML pipelines.
Maintains and operates Puppet-managed infrastructure and handles Linux (RHEL/RPM) deployments and automation scripts, while contributing to DevOps practices including CI/CD with Ansible, Terraform, and GitHub Actions. Requires at least B1 technical English.
Data engineer at a global software publisher serving brands and manufacturers from design to retail to production. Day to day: design, build, and maintain data pipelines, collection, storage, and access solutions, develop tooling for massive data processing, and document production workflows using distributed-computing tech like HDFS, Spark, Scala, and Kafka.
Production engineer at Kéoni Consulting in Paris who industrializes infrastructure and application deployments: builds provisioning and continuous-delivery automation with DevOps tooling on Windows/Linux, supports application production teams, and coordinates with the CI team. Professional-level English is required.
DevOps study & design engineer at Kéoni Consulting in Paris: monitors and analyzes production environments (Java, databases, legacy, cloud) and designs/evolves payment and banking systems within a DevOps and cloud framework, working with internal and external partners.
Data Engineer at consulting firm Astek, on-site in Le Havre for an international industrial client: building and maintaining data integration flows between SAP ECC ERP and the Snowflake data platform via Boomi iPaaS, ensuring data quality, and collaborating daily with a team spread across France, India, and Italy.
Data Engineer (permanent, on-site in Paris) at Rexel Group, working in the Analytics & AI team to drive the digital performance of Rexel.fr: industrializing analyses, building predictive models, and automating data pipelines to improve eCommerce conversion. Core tools: Qlik, Python, and analytics tools.
Production/DevOps engineer at Crédit Agricole's IT production arm (CA-GIP), embedded in the payments cluster operating critical SWIFT and FircoSoft interbank messaging flows. Day to day: production deployments, RUN monitoring and incident management, on-call duty, plus CI/CD, Infrastructure as Code, automation, and patching/hardening work.
Mid-level Data Engineer on Körber's internal data team, designing, building, and optimizing data pipelines, ETL/ELT flows, and data models across the group's BI landscape using SAP Datasphere/Business Data Cloud, SAP CDS, and Databricks, with a focus on data governance, quality, and reliable data flows.
Data Engineer at consulting group Talan, building and maintaining GCP big data use cases for large enterprise clients (luxury/retail, banking/insurance, industry). Day to day: model and analyze cloud data, ensure data security/compliance, run POCs and tech watch. Stack: GCP, Spark/Scala/Python/Java/R, IaC, CI/CD, dbt, Snowflake.
ActinVision, a French data consultancy, is hiring a Microsoft Fabric / Databricks Data Engineer Consultant in Paris to work on varied projects for national and international clients. Day to day: analyzing needs, building robust data architectures, optimizing performance, and coaching client teams in a holacratic setup.
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