Data Engineer – AI & Data Platforms
Consultative data engineering role at Keyrus in Madrid: design, build and operate production data pipelines and trusted data products for analytics and GenAI (RAG, retrieval, agents) on a major cloud data ecosystem, collaborating with client, AI and delivery teams. Requires Spanish/English fluency; €40k–54k plus hybrid setup.
- Compensation
- €40K–€54K / yr
- Location
- Madrid, Spain
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Contract
- Experience
- 3+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Degree in Computer Science, Engineering, Information Systems or related field, or equivalent experience
- Hands-on experience designing, building and operating production data pipelines and data products
- Deep practical expertise in at least one major cloud data ecosystem
- Experience working with AI, software, analytics, architecture or governance teams
- Availability for monthly travel to Madrid or Lisbon
- Professional fluency in Spanish and English, written and spoken
- Strong SQL and data-modelling fundamentals
- Production engineering capability in Python or another common data engineering language
- Experience implementing data quality, testing, monitoring, lineage or observability
- Understanding of production concerns: reliability, scalability, security, access, maintainability, performance
- Experience preparing structured and unstructured data for AI/GenAI use cases (RAG, embeddings, semantic context, evaluation datasets)
- Experience with vector or hybrid search infrastructure, including feeding and maintaining RAG indexes
- Experience with distributed processing, orchestration, batch ingestion plus APIs, CDC, event-driven processing or streaming
- Working knowledge of CI/CD, automated testing, version control and repeatable deployment for data solutions
- Rapid prototyping from mock-up to proof of concept in days (e.g. Streamlit)
- Depth in at least one of Databricks, Snowflake, Microsoft Fabric, BigQuery, Redshift, Spark, dbt or Airflow
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 data products
- Experience in regulated, high-security or data-sovereignty-sensitive environments
- Consulting or client-facing experience, exposure to international 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, 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.