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 ****
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
,
evaluation
and
agent?enabled systems.
Design, build, test and operate production data pipelines and data products
, moving data reliably from enterprise source systems into reusable consumption layers.
Develop and maintain data models and transformation logic
that preserve clear definitions and business context across analytical, operational and AI workloads.
Implement data quality, lineage, metadata and observability controls
, so critical data is trustworthy, understandable and monitored in production.
Prepare structured and unstructured data for intelligent systems
, including retrieval, grounding, RAG indexes, semantic context and evaluation datasets.
Engineer reliable ingestion and processing patterns
across APIs, databases, files, documents, events and other enterprise sources.




Operate and improve data workloads in a major cloud data ecosystem
, balancing reliability, scalability, security, performance and cost.
Collaborate with AI Engineers and Software Engineers on stable data interfaces
, without taking ownership of model behaviour, agents or the surrounding application.
Document and reuse what works
, including data contracts, transformations, controls, dependencies and operational knowledge that strengthen future Keyrus engagements.
Who You Are
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.
What You Bring
Qualifications & Experience
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.
Exp

📌 Data Engineer (Madrid)
🏢 Keyrus Group
📍 Madrid