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.





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

Skills: python,mlops,terraform

📌 Senior Data Engineer – AI & Agentic Systems (Madrid)
🏢 Virtual Connect Solutions
📍 Madrid