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# Data Engineer

- **Company:** Pyramid Consulting, Inc
- **Location:** Spain
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Amazon Web Services, User Authentication, Microsoft Azure, Continuous Integration, Information Engineering, Data Security, Cursor, Python (Programming Language), Machine Learning, Role-Based Access Control, SQL Databases, Web Application Frameworks, Google Cloud, LangChain, Retrieval-Augmented Generation, Claude Code, Apache Spark, Generative AI, AI Coding Agents, Langfuse — LLM Observability and Analytics Platform, Agentic-AI, LangSmith, Information Technology, Low Latency, Dask, Machine Learning Operations, Terraform, Databricks
- **Published:** October 10, 2026
- **Apply:** https://www.jobleads.com/es/job/data-engineer--spain--e61bb2ad73669399a967132ff403273f4

## About the Role

* Degree in Computer Science, Engineering, or equivalent professional experience.
 * 5+ years of relevant professional experience in data engineering, including leading technical workstreams, mentoring junior engineers, and driving software engineering best practices across teams.
 * Expert-level proficiency in Python and SQL, with the ability to work effectively in polyglot environments, including Scala and Java, within client enterprise systems.
 * Strong experience building Agentic AI, Generative AI, Machine Learning, and Business Intelligence solutions, including:
 * RAG and embeddings
 * Context construction
 * Production output handling
 * Modern frameworks such as Spark, LangChain, Databricks, Dask, Airflow, Dagster, and Kedro
 * Proven ability to lead AI feature delivery end to end, with strong judgment around model behaviour, evaluation, reliability, guardrails, and the trade-offs between quality, latency, and cost.
 * Experience implementing data security and governance controls, including PII/PHI management, authentication, and Role-Based Access Control (RBAC).
 * Deep knowledge of MLOps and LLMOps, including:
 * CI/CD for data workflows
 * Automated agent evaluation using LangSmith, Opik, and Langfuse
 * Infrastructure as Code using Terraform
 * Experience across AWS, Azure, and GCP
 * Excellent time management and autonomy, with the ability to independently own and deliver technical workstreams.
 * Experience using AI coding agents such as Cursor, Claude Code, and Codex is an advantage.
 * Strong written and verbal communication skills in English and the relevant local office language(s).

## Description

* Degree in Computer Science, Engineering, or equivalent professional experience.
 * 5+ years of relevant professional experience in data engineering, including leading technical workstreams, mentoring junior engineers, and driving software engineering best practices across teams.
 * Expert-level proficiency in Python and SQL, with the ability to work effectively in polyglot environments, including Scala and Java, within client enterprise systems.
 * Strong experience building Agentic AI, Generative AI, Machine Learning, and Business Intelligence solutions, including:
 * RAG and embeddings
 * Context construction
 * Production output handling
 * Modern frameworks such as Spark, LangChain, Databricks, Dask, Airflow, Dagster, and Kedro
 * Proven ability to lead AI feature delivery end to end, with strong judgment around model behaviour, evaluation, reliability, guardrails, and the trade-offs between quality, latency, and cost.
 * Experience implementing data security and governance controls, including PII/PHI management, authentication, and Role-Based Access Control (RBAC).
 * Deep knowledge of MLOps and LLMOps, including:
 * CI/CD for data workflows
 * Automated agent evaluation using LangSmith, Opik, and Langfuse
 * Infrastructure as Code using Terraform
 * Experience across AWS, Azure, and GCP
 * Excellent time management and autonomy, with the ability to independently own and deliver technical workstreams.
 * Experience using AI coding agents such as Cursor, Claude Code, and Codex is an advantage.
 * Strong written and verbal communication skills in English and the relevant local office language(s).