The role involves analyzing business processes to implement them into dbt and designing data models with optimized loading strategies. You will also be responsible for comparing platform results, investigating discrepancies, and preparing validations for production deployment.
Design and implement Azure-based cloud architectures and multicloud solutions while leading workload migrations. Act as the primary technical reference for clients and provide architectural consulting during pre-sales and project phases.
The Security Engineer will be responsible for managing perimeter security infrastructure for a client. This includes working autonomously to maintain and secure network environments using various security tools.
Design and implement scalable MongoDB architectures in production environments while managing deployments on Linux VMs. Define and execute strategies for high availability, security, backups, and infrastructure automation.
Design and implement Confluent Platform and Apache Kafka architectures in production environments. Ensure high availability, security, and performance through automated deployments and cluster administration.
Develop, train, and evaluate machine learning models to address business needs. Manage the full lifecycle of models from design to production while performing exploratory data analysis.
The selected candidate will be responsible for the administration, maintenance, and evolution of corporate Oracle databases for a banking client. Key tasks include installation, configuration, patching, migration, and performance tuning of Oracle environments.
The selected candidate will be responsible for the installation, configuration, and maintenance of Oracle databases for a banking client. Duties include managing database migrations, performing upgrades, and providing support for Oracle RAC and Data Guard environments.
Design, develop, and maintain data integration and transformation processes using IBM DataStage. Collaborate with architecture and analytics teams to optimize ETL performance and support data platform modernization projects.
Develop, maintain, and evolve ETL processes using IBM DataStage and Cloud Pak for Data. Design data integration solutions and provide technical support for data platforms.
Design, develop, and maintain ETL/ELT processes, data models, and optimized data pipelines on Google Cloud Platform. Integrate data from multiple sources, apply data quality, performance, and governance practices, and collaborate with technical and business teams to deliver scalable solutions.
The DevOps Engineer will manage the migration of microservices-based applications to cloud environments and support infrastructure and development teams. They will also handle deployment automation, continuous integration, and incident resolution to ensure operational continuity.
Design and develop scalable data pipelines within cloud environments using Snowflake as the central ecosystem. Collaborate with multidisciplinary teams to execute end-to-end advanced analytics projects and integrate data using modern ELT/ETL tools.
Lead observability projects from architectural definition to implementation within complex enterprise environments. Design and deploy metrics, logs, traces, and alerting strategies while acting as a technical reference for clients.
The Automation Architect will lead the strategy, design, and evolution of automation platforms for clients, defining reference architectures and development standards. They will drive the adoption of Infrastructure as Code, CI/CD, and operational automation while providing technical leadership to DevOps and Platform Engineering teams.
The DevOps Architect will lead the design, implementation, and evolution of Cloud Native platforms and next-generation DevOps ecosystems. Responsibilities include defining reference architectures for multicloud Kubernetes environments, establishing CI/CD and GitOps standards, and ensuring scalable, secure, and automated solutions.
The Automation Engineer will develop, maintain, and evolve automation solutions using tools like Ansible, Python, and Terraform. They will collaborate with architecture, infrastructure, and operations teams to support existing automations and implement new technical standards.
Develop and maintain ETL processes using DataStage while optimizing data loads and performance. Provide support for incident resolution and participate in continuous improvement and evolutionary projects.
The role involves administering and maintaining complex Microsoft infrastructure, including Windows Server, Active Directory, and Azure Virtual Desktop environments. The candidate will also perform advanced troubleshooting, automation via PowerShell, and manage security and identity services within a global team.
The Service Manager will be responsible for managing services and driving the growth of the team in Madrid. The role involves overseeing service transitions and participating in pre-sales activities.
The Cloud Engineer will operate and administer AWS and Azure infrastructures, focusing on automation, maintenance, and incident resolution. They will collaborate with architecture and DevOps teams to evolve cloud platforms and implement infrastructure as code.
Develop and implement Python scripts and applications for process automation and complex technical solutions. Collaborate with the team to analyze requirements, manage code via Git, and participate in the full development lifecycle.
The SRE will manage, operate, and evolve container platforms based on Kubernetes, OpenShift, and cloud-native tools while applying GitOps methodologies. They are responsible for maintaining CI/CD pipelines, ensuring high availability, and automating operational tasks to improve system performance and security.
The candidate will design, implement, and manage secure and scalable AWS cloud architectures to meet business needs. They will also collaborate with cross-functional teams to automate infrastructure and drive cloud migration strategies.
The DevOps Engineer will manage, operate, and evolve container platforms like Kubernetes and OpenShift while automating infrastructure and CI/CD processes. They will also perform troubleshooting, ensure platform availability and security, and act as a technical lead for the team.
Design and implement observability solutions including logs, metrics, and traces while creating advanced dashboards and alerts. Collaborate with DevOps and SRE teams to improve incident detection and integrate AI capabilities into observability platforms.
