Data Platform & AI Engineer - Build Pipelines & ML

Camelina Company España; Madrid; Hybrid; EUR 65.000 - 90.000; Vollzeit

Zusammenfassung

Camelina Company España is seeking a hands-on Data Platform & AI Engineer to own our Databricks environment and shape our data and AI capabilities. You will work end-to-end across ETL/ELT, streaming, ML models, and dashboards to empower smarter decision-making.

The role requires 3–5 years of hands-on data engineering experience, proficiency in Databricks, Spark/PySpark, Delta Lake, SQL, Python, and MLflow, with fluency in English and Spanish. Madrid-based with some travel to company sites.

Qualifikationen

• 3–5 years hands-on data engineering experience.
• Strong knowledge of Databricks, Spark/PySpark, Delta Lake, SQL and Python.
• Experience deploying machine learning models with MLflow or similar tools.
• Knowledge of Azure and/or AWS cloud environments.
• Fluent in English and Spanish.

Aufgaben

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

Kenntnisse

Databricks

Spark/PySpark

Delta Lake

SQL

Python

MLflow

Azure

AWS

BI tools

Tools

Databricks

Power BI

Tableau

Jobbeschreibung

Camelina Company España is seeking a hands-on Data Platform & AI Engineer to own our Databricks environment and shape our data and AI capabilities. You will work end-to-end across ETL/ELT, streaming, ML models, and dashboards to empower smarter decision-making.

The role requires 3–5 years of hands-on data engineering experience, proficiency in Databricks, Spark/PySpark, Delta Lake, SQL, Python, and MLflow, with fluency in English and Spanish. Madrid-based with some travel to company sites.