Data Platform & AI Engineer

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

Madrid, Spain | Full-time

Are you passionate about transforming data into real business impact? Camelina Company España is looking for a hands-on Data Platform & AI Engineer to take ownership of our Databricks environment and help shape the future of our data and AI capabilities.

In this key role, you'll work across the full data lifecycle---from building scalable ETL/ELT and streaming pipelines to deploying machine learning models, developing AI-powered solutions, and creating dashboards that support smarter decision-making.

What you'll do

• Build and optimize data pipelines using Databricks, PySpark, SQL, Delta Lake, Workflows, Auto Loader, and Delta Live Tables.
• Develop and deploy AI and machine learning solutions, including forecasting, anomaly detection, and LLM/RAG applications.
• Create impactful dashboards and reports with Databricks SQL, Power BI, Tableau, or similar tools.
• Manage data quality, governance, security, performance, and platform costs.
• Partner with operational, financial, and commercial teams in Spain and the United States to turn business needs into reliable data products.

What we're looking for

• 3--5 years of hands-on data engineering experience.
• Strong knowledge of Databricks, Spark/PySpark, Delta Lake, SQL, and Python.
• Experience building production ETL/ELT pipelines from databases, APIs, files, and streaming sources.
• Experience deploying machine learning models with MLflow or similar tools.
• Knowledge of Azure and/or AWS cloud environments.
• Experience with modern BI and reporting tools.
• Full professional fluency in English and Spanish.
• Availability for regular working-hour overlap with our Pacific Time team.

Experience with Unity Catalog, CI/CD, Terraform, structured streaming, enterprise AI solutions , or the energy and industrial sectors will be highly valued.

This position is primarily office or home-office based in Madrid, with occasional travel to company sites, including Bakersfield, California.

If you're excited about building a data platform from ingestion to insight---and want to see your work deliver measurable business value---we'd love to hear from you.

#Hiring #DataPlatform #DataEngineer #AIEngineer #Databricks #ArtificialIntelligence #MachineLearning #PySpark #PowerBI #Azure #AWS #TechJobs #MadridJobsConsejos: Haz un resumen del puesto, explica qué se necesita para triunfar en él y el lugar que ocupa en la empresa.