Data Engineer – AI & Data Platforms
- Compensation
- Not disclosed
- Location
- Alcobendas, ES
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Contract
- Experience
- 3+ years
- Category
- Data engineering
- Posted
Skills
Must have
- You are a hands-on Data Engineer who knows that moving data is not enough: it must remain trusted, understandable and usable once a system is in production.
- You think from source to consumption and can turn fragmented enterprise data into reliable data products.
- You understand that analytics, applications, RAG systems, evaluations and agents consume data differently, and you design the foundation accordingly.
- You combine strong engineering fundamentals with practical judgement.
- You take ownership of what you build and follow it through to production.
- You collaborate easily with AI, software, analytics, architecture and governance teams in international environments.
- Degree in Computer Science, Engineering, Information Systems or a related field, or equivalent professional experience.
- Strong hands-on experience designing, building and operating production data pipelines and data products.
- Deep practical expertise in at least one major cloud data ecosystem, with the ability to apply the same principles across comparable technologies.
- Experience working with AI, software, analytics, architecture or governance teams that consume or define requirements for your data products.
- Availability for monthly travel to Madrid or Lisbon.
- Professional fluency in Spanish and English, written and spoken.
Nice to have
- Experience with semantic layers, knowledge graphs, ontologies or enterprise knowledge architectures.
- Experience building data foundations for agentic systems or complex GenAI applications.
- Experience with real-time or high-volume streaming architectures.
- Experience with ML data pipelines, feature stores or MLOps integration.
- BI dashboards on top of the data products when needed.
- Experience in regulated, high-security or data-sovereignty-sensitive environments.
- Consulting or client-facing experience, and exposure to international projects or multicultural teams.
Full description
Why Keyrus, Why Now!
Keyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does.
For more than 30 years, we have been building the data foundations that make intelligent systems work — designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalise intelligence.
AI does not replace humans. It repositions us to a place no system can follow: understanding, deciding, designing, and creating.
At Keyrus, you will not just develop skills — you will develop judgment. Your expertise sharpens with every system you architect, every client challenge you solve, and every deployment that compounds on the last.
Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges data, AI, and human decision-making at scale, across industries and geographies. This is not a role you fill. It is a discipline you master and a story you help write to become a Keyrus Architect of Intelligence.Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two.
Role Details
📍 Job location: Madrid, Spain (Hybrid model when needed)
🕒 Contract type: Employee
🗓 Target start date: January 2027
⏰ Working hours: Full-time
💵 Compensation: €40k–€54k per year
🗣 Languages: Spanish and English
📋 What You'll Architect
As a Data Engineer – AI & Data Platforms, you will help organisations transform complexity into measurable outcomes by combining technology, data, intelligence, and human decision-making.
This role is both technical and consultative — perfect for someone who can combine hands-on data engineering, solution design, and close collaboration with client and delivery teams. We’re looking for professionals who think like architects and act like builders.
This is fundamentally a Data Engineering role, with an added focus on preparing enterprise data for modern AI. Intelligent systems are only as dependable as the data beneath them: you will turn structured and unstructured source data into trusted, reusable data products that serve analytics and applications as well as RAG, retrieval, and