Data Platform & AI Engineer: Build AI-Driven Data Pipelines

Camelina Company España; Madrid; Hybrid; EUR 45,000 - 70,000; Full time

Job summary

Camelina Company España is seeking a hands-on Data Platform & AI Engineer to own our Databricks environment and shape the future of data and AI capabilities. In Madrid, you will design scalable ETL/ELT pipelines, deploy ML models, and build dashboards that enable smarter decisions.

You will collaborate with cross‑functional teams in Spain and the U.S., improve data quality, governance, and security, and optimize costs while delivering reliable data products for business teams.

Qualifications

• 3–5 years of hands-on data engineering experience.
• Strong knowledge of Databricks, Spark/PySpark, Delta Lake, SQL and Python.
• Experience deploying ML models with MLflow or similar tools.
• Fluent in English and Spanish; able to overlap with Pacific Time team.

Responsibilities

• Build and optimize data pipelines using Databricks, PySpark, SQL and Delta Lake.
• Develop and deploy AI/ML solutions including forecasting and anomaly detection.
• Create dashboards with Databricks SQL, Power BI or Tableau.
• Manage data quality, governance, security, performance and costs.
• Collaborate with teams in Spain and the United States to deliver data products.

Skills

Bilingual English and Spanish

Data engineering experience

Cloud collaboration

Tools

Databricks

Spark/PySpark

Delta Lake

SQL

Python

MLflow

Power BI

Tableau

Azure

AWS

Job description

Camelina Company España is seeking a hands-on Data Platform & AI Engineer to own our Databricks environment and shape the future of data and AI capabilities. In Madrid, you will design scalable ETL/ELT pipelines, deploy ML models, and build dashboards that enable smarter decisions.

You will collaborate with cross‑functional teams in Spain and the U.S., improve data quality, governance, and security, and optimize costs while delivering reliable data products for business teams.