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Develops and optimizes secure, scalable IT systems for Dutch government digital services, blending backend engineering with DevOps and team mentorship.
Develop and maintain backend services for a mission-critical port management system using Spring Boot, Java, and Kotlin, ensuring reliable integrations with internal and external partners.
Leads AI data engineering and solutioning for Singapore’s Home Team, designing scalable data pipelines, ensuring governance, and optimizing AI model inputs while driving innovation in cloud/data technologies.
Leads a multi-year SAP ERP modernization program (SAP S/4HANA, SuccessFactors) for finance, HR, payroll, and workforce management in a public-sector organization.
This role is for a Senior Full-Stack Java Engineer to work on mission-critical federal government applications and data platforms. The position focuses on backend development using Java, Spring Boot, and microservices architecture.
Queensland Rail is seeking a Principal OT Architect to provide technical leadership for OT hosting environments and secure critical rail infrastructure. The role involves governing OT infrastructure, performing design reviews, and guiding stakeholders through architectural decisions in a hybrid work environment.
This role involves working as a Quantum Software Engineer within an interdisciplinary HPC team on the GWDG QC project, scheduled to run until October 2029. Core technologies revolve around quantum computing and high-performance computing (HPC).
Senior Java Fullstack Developer designing and implementing core IT systems for Germany’s tax administration, focusing on cross-agency process automation and governance.
The Data Governance Lead will design and implement an enterprise data governance framework across Azure and AWS ecosystems to ensure regulatory compliance and data quality. This leadership role involves managing a team of data professionals and driving cultural change across the organization to improve data maturity.
The Head of Data Engineering & Enterprise Platforms will lead the delivery, operation, and evolution of enterprise data engineering capabilities, including data platforms and pipelines, to support business outcomes within the New Zealand government.
Design and build enterprise-scale data platforms and pipelines for NZTA’s mobility data, enabling analytics, AI, and better transport outcomes across New Zealand.
The Manager of Data Engineering leads the delivery and operation of enterprise data platforms and pipelines to support data-driven decision-making. This role involves managing data engineering teams, ensuring platform scalability and security, and collaborating across IT and business functions.
The Senior Data Engineer will lead the design and delivery of enterprise data solutions, mentor engineering staff, and drive analytics and AI initiatives for the New Zealand Transport Agency.
The Head of Data Engineering & Enterprise Platforms leads the delivery and evolution of enterprise data engineering capabilities to support organizational business outcomes. The role involves managing data platforms and analytics environments while collaborating with technology, security, and business teams.
The Manager of Data Engineering will lead the delivery and operation of enterprise data platforms and pipelines to support data-driven decision-making. This strategic leadership role focuses on building scalable, secure data solutions and managing high-performing teams within a government housing organization.
The Lead Enterprise Data Engineering & Platforms role at Kāinga Ora involves managing the delivery, operation, and evolution of enterprise data engineering capabilities. The lead will oversee data platforms, pipelines, and analytics environments to ensure they are secure, scalable, and reliable for organizational insights.
Full-stack developer building and operating REANA, an open-source reproducible data analysis platform at CERN, using React, Python, Go, Docker, and Kubernetes.
Develops and maintains federated computational analysis infrastructure for CERN’s REANA platform and EOSC projects, collaborating with researchers to enable reproducible data workflows across European nodes using full-stack technologies.
Full-stack developer supporting the REANA platform and EOSC federated infrastructure to enable cross-node data analysis and scalable deployments for open science research at CERN.
CERN is hiring a full-stack engineer to develop the REANA platform, focusing on reproducible data analysis and open science infrastructure using Kubernetes.
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