Data & AI Engineer

Cloud data and generative AI solutions taken to production, with direct client exposure.

Team: Martech & CRM
Location: Madrid - Hybrid
Experience: 2 - 4 years
Contract: Permanent contract
Reports to: COO

About the role

We are looking for someone who owns data in cloud ecosystems and also builds AI-powered solutions. You understand how data is ingested, structured and modelled on Azure, AWS or Google Cloud, and you ship projects working side by side with the client.

This is not a passive reporting or research role: you take data from collection to activation, and AI solutions from zero to production, leading the technical conversation inside the team and in front of the client. You report to the COO and own the architecture and roadmap of each project.

What you will do

Work with cloud infrastructure (preferably Azure, plus AWS or Google Cloud) to ingest, structure, model and activate data at scale.
Structure digital, analytics and marketing platform data sources to understand user behaviour and business performance.
Exploit raw data from digital analytics tools to extract advanced, actionable insights.
Design and build platforms with generative AI as a core part of the product.
Develop LLM-based solutions (Anthropic, OpenAI): RAG, vector databases, agent orchestration and observability.
Build and deploy multimodal text and voice agents (for example ElevenLabs) integrated into real product flows.
Use AI-assisted development tools (Claude Code, Codex) to accelerate build and release cycles.
Act as the technical counterpart for the client in follow-ups, steering committees and Quarterly Business Reviews.
Own projects end to end, safeguarding quality and delivery dates.

What we are looking for

2 to 4 years combining data work in cloud environments with AI solution development, ideally including generative AI.
Experience with cloud infrastructure applied to data ingestion and structuring, preferably Microsoft Azure and/or AWS.
Experience with digital data sources in marketing or business environments (digital analytics, marketing platforms).
Hands-on use of AI-assisted development tools in production (Claude Code, Codex or equivalent IDEs).
Experience leading projects or technical teams, distributing work and holding the quality bar.
Client-facing experience: follow-up meetings, progress reporting and expectation management.
Professional English for technical documentation and international stakeholders.
Execution mindset: take a project from zero to production without relying on large structures.

Nice to have

Data projects within the MarTech space and definition of activation use cases (segments and audiences).
Backend-as-a-service to accelerate product work (Vercel, Cloudflare, Supabase).
Integration of AI voice agents into product.
Data visualisation (Looker Studio, Power BI, Tableau) and tag management (Google Tag Manager, dataLayer).
Having reported in steering committees or QBRs with enterprise clients.
Consultancy background or on-site deployment with clients.

Hiring process

01CV and portfolio review plus initial screening.
02Technical interview with a case study.
03Strategic interview with the founding team.

If you prefer to write to us directly, you can do so at contacto@bondlabs.es.