Data & AI Platform Engineering Lead (H/F)

Dé un paso adelante y deje que Edenred le sorprenda.

Cada día, ofrecemos soluciones innovadoras para mejorar la vida de millones de personas, conectando a empleados, empresas y comerciantes de todo el mundo.

Sabemos que hay cientos de formas de que crezcas. Con nosotros, ampliarás tus habilidades en un entorno multicultural, desafiante y dinámico.**Atrévase a unirse a Edenred y prepárese para prosperar en una empresa global que le ofrecerá un sinfín de oportunidades.**En Edenred todo gira en torno a la meritocracia. Vienes como eres y contribuyes. De hecho, el Grupo Edenred reconoce, contrata y desarrolla todos los talentos y singularidades.

Nos comprometemos a evitar toda forma de discriminación y a ofrecer a todos nuestros candidatos igualdad de oportunidades independientemente de su sexo y expresión de género, discapacidad, origen, creencias religiosas y orientación sexual o cualquier otro criterio.# YOUR ROLEIn close collaboration with asset teams, integration engineers, SRE, and product squads, the Data & AI Platform Engineering Lead acts as the technical owner of Edenred’s Data & AI platform foundations.

As a player-coach, the role both designs and builds core platform capabilities (Databricks, Unity Catalog, infrastructure, CI/CD, agent runtime primitives) and coaches teams to use the platform correctly. The role ensures the platform is secure, scalable, observable, interoperable, and AI-ready, while enabling autonomy and reuse across geographies and business lines.## Responsibilities

• Own the Data & AI platform roadmap as a product (Databricks, Unity Catalog, infrastructure, shared services) Design and implement core platform building blocks (workspaces, catalogs, compute policies, environments) Enforce security, access control, and isolation by design Ensure the platform supports data, AI, and agentic workloads consistently Contribute hands-on to critical platform components and upgrades Define and operate the platform-level agent interoperability layer Ensure agents can interoperate across runtimes (Databricks agents, Salesforce Agentforce, internal services) Treat agent interfaces as first-class platform APIs, versioned and governed Partner with SRE to embed observability, reliability, Fin

Ops into platform primitives

• Co-own CI/CD frameworks and guardrails (policy-as-code, quality gates) Participate as a standing member of the Design Authority Enable discovery, sandboxing, and fast-track experimentation safely Prevent platform fragmentation and shadow architectures# YOUR PROFILE## Technical & Engineering Strong background in platform and software engineering Deep expertise with Databricks & Lakehouse architectures (Unity Catalog, security, serverless) Solid understanding of data engineering and AI enablement needs Working knowledge of agent runtimes, tool/function protocols, and A2A interaction patterns Comfortable with cloud infrastructure, IAM, networking, and infrastructure-as-code## Player-Coach Mindset Hands-on engineer able to design, build, and debug core systems Coaches teams through patterns, reviews, and enablement rather than control Raises engineering standards through example## Collaboration & Influence Able to influence architecture and usage without hierarchical authority Clear communicator with engineers, architects, and leaders Pragmatic, anti-dogmatic; standards exist to enable teams Comfortable arbitrating trade-offs between simplicity, flexibility, and scale¡Aplica ahora y vibra con nosotros!

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