11 publicaciones de empleo destacadas de data engineer (google cloud) en madrid, md (¡Están contratando!)

Forward Deployed Engineer
Accenture —Madrid, Madrid provincia
- Jornada completa
- APIs
- Inteligencia artificial
Arquitecto Devops/SDLC - Github Actions
Accenture —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- DevOps
- Seguro de vida
Senior Security Engineer
Ciberia —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- Microsoft Office
Solicitud rápida
Analista/Desarrollador/a Dialogflow
Accenture —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Salesforce
- Inglés
- Java
- Reparto de beneficios empresariales
- Seguro médico privado
9d
Databricks Resident Solutions Architect (m/f/*)
Ultra Tendency —Madrid, Madrid provincia
- Teletrabajo
- Español
- Azure
- Inglés
Solicitud rápida
Senior AI Engineer / AI Architect
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- Ventas
Senior Detection Engineer
Allianz —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Informática
- Plan de pensiones
Senior Scala Software Engineer
N-iX —Madrid, Madrid provincia
- Teletrabajo
- Informática
Solicitud rápida
Ingeniero/a de Seguridad
Ciberia —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- Python
Solicitud rápida
Senior Solutions Architect (FDE)
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- AWS
1d
Project Manager
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Microsoft Excel
- Azure
- PMP

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Arquitecto Devops/SDLC - Github Actions
Accenture —Madrid, Madrid provincia
Flexible working hours with intensive workdays for two months and a half in summer. Experience working with Agile methodologies such as Scrum or Kanban, and…

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Forward Deployed Engineer

Accenture -
Madrid, Madrid provincia

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Detalles del empleo

Jornada completa

Cualificaciones

CI/CD
Arquitectura de microservicios
Terraform
APIs
Escalabilidad
Cloud
Inteligencia artificial
Debugging

Descripción completa del empleo

Role Description
This is not a consulting role. It is not a project delivery role. It is not a research position. A Forward Deployed AI Engineer is a production engineer who works embedded inside a client's enterprise, shoulder to shoulder with their teams, to make complex AI platforms work in real, messy organizational environments. You own outcomes: time-to-value, adoption, reliability, and scalability. Not delivery milestones. Outcomes.
The market is beginning to understand what leading technology companies have demonstrated: AI products fail not because the models are weak but because deployment is broken. The gap between a successful AI pilot and an AI capability that scales is bridged by engineers who can translate platform capability into measurable business value inside a real enterprise environment. That is this role.
Forward Deployed AI Engineers form the execution spine of our Reinvention Deployment Engineering pods. We are building the largest FDE capability in the services industry. The engineers who join at this stage will define what the role looks like at scale and will have access to the hardest enterprise AI problems in the market across every industry.
Key Responsibilities
Embed directly with client engineering and business teams to deploy, scale, and operationalize AI platforms — Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir — inside enterprise environments
Own production outcomes end-to-end: time-to-value, reliability, adoption velocity, and scalability, with business metrics attached — not just delivery milestones
Move from ambiguous business problem to working production system through rapid experimentation: days to prototype, weeks to production-ready
Design and govern AI architectures across the full enterprise stack: identity, data, security, governance, platform layer, and workflow integration
Translate technical architecture into business impact for client CTO, CFO, and CISO; shape use case roadmaps, ROI backlogs, and AI adoption strategy
Build reusable patterns, playbooks, and accelerators that the client owns after you leave — enabling the client team to run it without you
Lead design workshops, proofs of concept, architecture walkthroughs, and code-with sessions with client engineering and leadership teams
Codify patterns and delivery learnings that scale across engagements and contribute to the growth of the FDE practice

Basic Qualifications
Commercial experience with cloud-native systems (APIs, microservices, containerization, serverless).
Experience of deep expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
Commercial experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines.
Strong experience deploying to production , CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
Demonstrated end-to-end delivery ownership in a client-embedded environment, internal projects, vendor labs, or team-only deployments do not qualify
Proven ability to articulate business value: can quantify the impact of deployments in terms a CFO would recognize and act on
Experience presenting to and building trust with senior client stakeholders, CTO, CFO, or CISO level
Non-linear profiles are expected and welcomed, assessment is based on demonstrated deployment experience and outcome ownership, not CV pattern matching

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data engineer (google cloud) empleos en madrid, md

Forward Deployed Engineer

Arquitecto Devops/SDLC - Github Actions

Senior Security Engineer

Analista/Desarrollador/a Dialogflow

Databricks Resident Solutions Architect (m/f/*)

Senior AI Engineer / AI Architect

Senior Detection Engineer

Senior Scala Software Engineer

Ingeniero/a de Seguridad

Senior Solutions Architect (FDE)

Project Manager

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