AI-Driven Data Engineer for Financial Crime Detection

ThetaRay; Madrid; Presencial; EUR 70.000 - 100.000; Jornada completa

Descripción de la vacante

ThetaRay is seeking a Data Engineer in Madrid to transform data pipelines and enable real-time detection for financial crime. You will contribute to building data flows and ML pipelines powering our AI-driven products for global banks and fintechs.

Requirements include Spark, Hadoop ecosystem, Python, SQL, and experience with data transformations and feature engineering. Fluency in English and Spanish is essential; some travel to customer sites is required.

Formación

• 2+ years of hands-on experience with Apache Spark, data pipelines, and big data processing.
• Strong SQL and data transformation skills, with experience in Hadoop ecosystem tools.
• Proficiency with Python (Pandas) and at least one JVM language (PySpark/Scala/Java/R).
• Experience building ML data pipelines and feature engineering for detection or analytics tasks.
• BSc or higher in a quantitative field; able to work with English and Spanish.

Responsabilidades

• Implement and maintain data pipeline flows in production within the ThetaRay system based on the data scientist’s design.
• Design and implement data flows for specific use cases to power ThetaRay products.
• Build a Machine Learning data pipeline and data tools for analytics and scientists.
• Collaborate with product, R&D, data, and analytics teams to enhance system functionality.
• Train customer data scientists and engineers to maintain data pipelines; travel as needed.

Conocimientos

Apache Spark

SQL

Git

Hadoop

Hive

Impala

Hue

HDFS

Sqoop

Python

Pandas

PySpark

Scala

Java

R

Data transformation

ML feature engineering

English

Spanish

Educación

BSc in Computer Science / Statistics / Informatics / Engineering

Herramientas

Apache Airflow

Elasticsearch

Zeppelin/Jupyter

Docker

Kubernetes

Linux

Jenkins

Descripción del empleo

ThetaRay is seeking a Data Engineer in Madrid to transform data pipelines and enable real-time detection for financial crime. You will contribute to building data flows and ML pipelines powering our AI-driven products for global banks and fintechs.

Requirements include Spark, Hadoop ecosystem, Python, SQL, and experience with data transformations and feature engineering. Fluency in English and Spanish is essential; some travel to customer sites is required.