Role Overview

We're looking for a Senior Data Engineer to own the data architecture behind our AI and agentic systems. You'll design and lead scalable data platforms, pipelines and MLOps/LLMOps foundations. Clients will use them to put enterprise-grade AI into production.

You'll lead the data engineering workstream inside cross-functional Agile teams with Data Scientists, ML Engineers and domain experts. You'll work directly with clients, from data owners to C-level executives, and mentor junior engineers along the way.

Candidate should be based in or around Madrid and open to travel as per business requirement.

What You Will Do

- Own technical workstreams. Design and deliver machine learning, Generative AI and agentic/autonomous AI systems from architecture through production.
- Architect scalable data platforms. Build robust batch and streaming pipelines that are tuned for modern AI workloads.
- Integrate GenAI and agentic frameworks into client solutions. This covers RAG pipelines, embeddings, vector databases, context construction, prompt design and output handling.
- Design MLOps/LLMOps architectures for model management, observability, automated evaluation and retraining.
- Lead feature engineering on complex workstreams so that data assets are reliable, reusable and ready for AI.
- Govern and secure data. Implement access controls, PII/PHI handling, authentication and RBAC across cloud environments.
- Make sound engineering trade-offs between quality, latency and cost. Apply evaluation, reliability and guardrail practices to AI features.
- Mentor and raise the bar. Coach junior engineers and drive software engineering best practices across the team.
- Partner with clients and stakeholders. Turn business problems into technical solutions and help build client capabilities.

What You Bring Must have

- A degree in Computer Science or Engineering,



or equivalent experience
- 5+ years in data engineering, including leading technical workstreams and mentoring engineers
- Expert-level Python and SQL, plus comfort with Scala or Java when client systems need them
- Hands-on experience building Agentic AI, GenAI, ML and BI systems in production with frameworks such as Spark, Databricks, LangChain, Dask, Airflow, Dagster or Kedro
- Practical knowledge of RAG, embeddings, vector databases and prompt and context engineering

- Strong MLOps/LLMOps skills:
- CI/CD for data workflows
- Automated agent evaluation (LangSmith, Langfuse, Opik)
- Infrastructure as code (Terraform)
- Experience on at least one major cloud (AWS, Azure or GCP); multi-cloud is a plus

- Proven experience with data security and governance (PII/PHI, authentication, RBAC)
- The ability to own workstreams on your own, with excellent time management
- Clear, confident written and verbal communication in English

Good to have

- Experience with AI coding agents such as Cursor, Claude Code or Codex
- A client-facing consulting or services background
- Exposure to several industry domains

What We Offer
- Meaningful work: Build cutting-edge AI solutions that solve high-impact problems for clients across industries.
- Growth and mentorship: A culture of continuous learning, clear feedback and hands-on coaching from experienced technologists.

- A voice that matters: Your ideas shape how we design and deliver AI systems from day one.
- Diverse, collaborative teams: Work with talented engineers, data scientists and domain experts.
- Competitive rewards: Pay based on experience and skills, plus a comprehensive benefits package.

Job Types: Full-time, Contract Pay: 40,300.00€ - 80,300.00€ per year

Education

- Bachelor's (Preferred)

Language:
- Spanish (Preferred)

Work Location: Hybrid remote in Madrid, Madrid provincia

📌 Senior Data Engineer - AI & Agentic Systems (Madrid)
🏢 StatusNeo
📍 Madrid