Data and AI Engineer, Hybrid

Description

Job Summary: We are seeking a Data and AI Engineer to join our team and contribute to innovative projects by designing architectures and defining standards. Key Highlights: 1. Be part of an innovative and growing multinational company 2. Work in an inclusive and respectful environment with equal opportunities 3. Participate in defining the technology roadmap and digital transformation Data and AI Engineer Do you want to join an innovative company operating in key sectors such as automotive, rail, energy, and aerospace, among others? At SEGULA TECHNOLOGIES, we are looking for people like you. The company has experienced rapid growth over recent years and is currently present in more than 30 countries with over 15\.000 employees. We support our clients across all stages of the product lifecycle. SEGULA TECHNOLOGIES boasts a large team of engineering experts specializing in design, modeling, simulation, and digital technologies. We operate in an inclusive and respectful environment where every individual is valued and has equal opportunities to realize their potential. SEGULA Technologies is seeking to hire a Data and AI Engineer to join our team and participate in exciting projects. **Responsibilities:** Design reference architectures based on OpenShift and Kubernetes. Define standards, best practices, and governance for container platforms. Deploy OpenShift platforms in hybrid and multi\-cloud environments. Evaluate and select complementary technologies (CI/CD, service mesh, observability, etc.). Define high availability, resilience, and disaster recovery strategies. Design security models (Zero Trust, identity management, RBAC policies). Advise development and operations teams on container adoption. Review and validate technical solutions proposed by other teams. Optimize cloud/on\-premise infrastructure costs and performance. Participate in defining the technology roadmap and digital transformation. Automation initiatives and Infrastructure as Code (IaC). Requirements * Minimum two years of experience in Data Engineering projects * Solid knowledge of AI (Copilot or Gemini enterprises), Studio (agents), and data governance using DAMA methodology * Experience in master data and metadata management **Technical Skills:** * LLM technologies * Familiarity with regulations: Data Quality Management (UNE 0079\), Data Management (UNE 0078\), and Data Governance (UNE 0077\) **Work Mode:** Hybrid (60% remote, 40% office) What We Offer * Work Mode: Hybrid (60% remote, 40% office) * Salary commensurate with candidate’s qualifications and experience. * Continuous training opportunities. * A positive work environment: professional and highly specialized. * Opportunity to work for a rapidly expanding multinational company, both nationally and internationally. * Internal promotion aligned with your personal goals. * Possibility to obtain tax advantages on your salary with SE OpenShift, Kubernetes, CI/CD, Service Mesh, Zero Trust,