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A Windows DevOps Engineer at a technology company in Delft builds robust infrastructure and reliable CI/CD pipelines, working in a multidisciplinary team on large data projects. Core stack: Windows infrastructure, CI/CD tooling, and Agile/SCRUM ways of working.
Senior Python Developer building complex software, new proof of concepts, and simulation tools for a scientific research institute that maps soil and water landscapes. Day to day you develop in Python within an autonomous team working alongside scientists; requires a CS degree, English and Dutch, with a €4,000–€6,500 monthly salary.
Senior Python developer at Recx in the Netherlands building scientific software that maps soil and water models — working on simulations, data acquisition, and proof-of-concepts in a multidisciplinary team, with a path toward a formal architecture role.
RecX is hiring a Cloud & Data Engineer in the Netherlands to support teams with scalable, future-proof cloud, data, and AI solutions in hybrid IT environments. Day to day, the role advises on architecture and translates research and innovation questions into practical applications using cloud platforms, data engineering, and complex datasets.
Cloud & Data Engineer for a leading Dutch knowledge/research organization: advise on hybrid multi-cloud and data architecture, build data pipelines and API integrations in Python (pandas, xarray, geopandas), and grow prototypes toward production with containers and CI/CD, applying data governance, FAIR principles and AI/ML reproducibility.
DevOps engineer employed by Dutch consultancy RecX, working at a public-sector client that keeps the Netherlands resilient against natural forces (mission-critical water/environment systems). Day to day: run mission-critical apps on containers and VMs with 24x7 support, onboard vendors into CI/CD, and build monitoring, alerting and logging using Kubernetes, GitLab CI, ArgoCD, Ansible, Prometheus a
RecX B.V. in the Netherlands seeks a Cloud & Data Engineer to help researchers responsibly bring data, cloud, and AI innovations into practice. The role blends advisory and hands-on engineering, building reusable solutions for large-scale datasets in hybrid cloud environments.
This engineer keeps business-critical applications running on container platforms and VMs, provides 24x7 support, facilitates vendors in CI/CD, and develops monitoring and logging for CI/CD environments. Core tooling includes Kubernetes, GitLab CI, ArgoCD, and a monitoring stack; salary is negotiable.
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