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Ai & Data Engineer

Hybrid in Madrid·Full-time·Added 3 months ago (last checked 26 Oct)

Havas

9 open roles

Our summary

Work mode
Hybrid, Madrid
Contract
Full-time

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Skills

This job advert was originally written in Spanish.

Requirements

Education & certifications

  • University degree in Engineering, Data Science, Computer Science, or similar
  • Master's/specialization in Data Science, AI, or Generative AI (valued)

The role

🚀 Are you passionate about the world of advertising, data, and Artificial Intelligence?

In our team, we are looking for talent to lead the design, development, and implementation of AI-based solutions that truly make a difference.

What you'll do

You will be responsible for creating intelligent agents capable of automating processes, optimizing operational workflows, and developing internal products that drive business efficiency and improve our customers' experience.

🔧 The main challenge:

Design an integral customer management agent, working with agentic architectures, API integration, and advanced protocols such as MCP (Model Context Protocol).

If you want to be part of an innovative environment where technology and creativity go hand in hand... we are waiting for you! ✨

AI Agent Design and Development

  • Design and develop autonomous AI agents and multi-agent systems to automate complex business processes
  • Create RAG (Retrieval-Augmented Generation) architectures integrating vector databases, business knowledge, and external APIs
  • Implement integral customer management agents connected via MCP to critical applications (CRM, media platforms, analytics, etc.)
  • Use orchestration frameworks such as LangChain, LangGraph, CrewAI, or similar.

Process Automation and Optimization

  • Automate operational workflows in Google Marketing Platform (GMP), advertising platforms, and reporting tools
  • Develop generative AI solutions to improve communications, insight generation, and repetitive tasks
  • Create data pipelines and data quality/governance processes
  • Optimize reporting and analysis processes through intelligent automation

Data Architecture and Cloud Infrastructure

  • Design scalable data architectures in multi-cloud environments (GCP, AWS, Azure)
  • Implement production-ready solutions with high availability and performance
  • Integrate systems via APIs, webhooks, and custom connectors
  • Manage SQL, NoSQL, and vector databases

Cross-functional Collaboration

  • Work closely with marketing, technology, product, and business teams
  • Translate business needs into viable technical solutions
  • Evangelize and train internally on AI and automation capabilities
  • Participate in the definition of product and innovation roadmaps

Your focus will be prioritized on the development of a specific project:

Integral Customer Management Agent

  • Design the agent architecture considering multiple customer data sources
  • Implement MCP connections to key systems: CRM, advertising platforms (Google Ads, Meta, etc.), analytics, billing, project management
  • Develop capabilities for: data querying, information updating, report generation, proactive alerts, intelligent recommendations
  • Ensure security, privacy, and governance of sensitive data
  • Create conversational interfaces (chat, voice) for interaction with internal teams
  • Measure and optimize the agent's performance and ROI

Experience

  • At least 4 years of experience in data engineering, software development, or similar technical roles (of which at least 1-2 years working with Generative AI, LLMs, and agentic architectures).
  • Demonstrable experience in the development of AI agents and multi-agent systems
  • Experience in media agency, digital marketing, or advertising environments (highly valued).

Technical Skills

  • Advanced Python (essential)
  • AI Frameworks: LangChain, LangGraph, LlamaIndex, or similar
  • LLMs and Generative AI: OpenAI, Anthropic, Google Gemini, etc.
  • RAG Architectures and vector databases (Pinecone, Chroma, Weaviate, etc.)
  • Cloud Platforms: GCP, AWS, or Azure (at least one, preferably GCP)
  • Databases: BigQuery, PostgreSQL, SQL
  • APIs and Integrations: RESTful APIs, webhooks, MCP (Model Context Protocol)
  • Git and agile development methodologies
  • Knowledge of Google Marketing Platform (GMP), analytics, and advertising tech (valued)

Necessary Skills

  • Analytical thinking and the ability to solve complex problems
  • Product vision: ability to design end-to-end user-centered solutions
  • Autonomy and proactivity in identifying automation opportunities
  • Effective communication with technical and business profiles
  • Continuous learning and adaptability to emerging technologies
  • Results orientation and the ability to deliver measurable business value

Contract Type

Permanent

Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual's ability to perform their job.

About Havas

Industry
Advertising & Marketing

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About the company & team

Havas Media Group Spain

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