Data Engineer: Snowflake, Spark on AWS | Hybrid

Ditech Group; Madrid; Híbrido; EUR 55.000 - 85.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

2 days in office, 3 days remote

Descripción de la vacante

Databricks is seeking a Data Engineer to design and build scalable data pipelines for analytics and AI workloads in Madrid. You will integrate diverse sources, optimize data models, and prepare datasets for ML and RAG systems, leveraging SQL, Python, Spark, and AWS data services.

You will collaborate with Data & Development teams, ensuring data quality and efficient infrastructure, with a hybrid schedule (2 days in office, 3 days remote).

Formación

• Hands-on data engineering experience with large-scale datasets.
• Experience building data pipelines for analytics and ML workflows.
• Strong SQL and Python programming, with cloud data services exposure.

Responsabilidades

• Design, build, and maintain scalable data pipelines for analytics and ML workloads.
• Model, transform, and optimize data for reporting and insights.
• Collaborate with data scientists, engineers and stakeholders to deliver value.
• Implement data quality, monitoring, and automation using modern tooling.
• Work with Hadoop, Spark, Databricks, Airflow and cloud platforms.

Conocimientos

SQL/PL-SQL

Python (pandas, PySpark)

Apache Spark

ETLs

AWS services

Spanish & English

Educación

Advanced degree in Computer Science

Herramientas

Hadoop

Spark

Databricks

Airflow

Anaconda

Snowflake

Descripción del empleo

Databricks is seeking a Data Engineer to design and build scalable data pipelines for analytics and AI workloads in Madrid. You will integrate diverse sources, optimize data models, and prepare datasets for ML and RAG systems, leveraging SQL, Python, Spark, and AWS data services.

You will collaborate with Data & Development teams, ensuring data quality and efficient infrastructure, with a hybrid schedule (2 days in office, 3 days remote).