Data Engineer - AI-Driven Financial Crime Pipelines

ThetaRay; Madrid; Presencial; EUR 55.000 - 90.000; Jornada completa

Descripción de la vacante

Theatre ThetaRay is seeking a Data Engineer to translate expert data engineering skills into scalable data pipelines for AI-driven financial crime detection. You will build and optimize data flows powering real-world money laundering detection for global banks and fintechs, collaborating with data scientists and engineers.

You'll implement production data pipelines, design flow solutions for specific use cases, and contribute to ML data pipelines.

Formación

• 2+ years hands-on experience with Apache Spark and big data pipelines.
• Proficient in SQL and data transformation/validation.
• Experience with Python (Pandas) and PySpark/Scala/Java/R.
• Familiar with Hadoop ecosystem components (Hive, Impala, Hue, HDFS, Sqoop).
• GIT version control, Linux environment, and ML data pipelines.
• Fluent in English and Spanish, both written and spoken.

Responsabilidades

• Implement and maintain production data pipelines within the ThetaRay system.
• Design data flows for use cases to power product implementations.
• Build an ML data pipeline and supporting analytics tools.
• Collaborate with product, R&D, data, and analytics teams to enhance system functionality.
• Train customer data scientists and engineers to maintain data pipelines.
• Travel to customer locations domestically and abroad.
• Manage technical relationships with customers and partners.

Conocimientos

Strong analytic skills

Multilingual (English & Spanish)

Educación

BSc in CS / math / engineering

Herramientas

Apache Spark

SQL

GIT

Hadoop ecosystem (Hive, Impala, Hue, HDFS, Sqoop)

Python (Pandas)

PySpark/Scala/Java/R

Linux

Elasticsearch

Jenkins

Apache Airflow

Docker

Kubernetes

Descripción del empleo

Theatre ThetaRay is seeking a Data Engineer to translate expert data engineering skills into scalable data pipelines for AI-driven financial crime detection. You will build and optimize data flows powering real-world money laundering detection for global banks and fintechs, collaborating with data scientists and engineers.

You'll implement production data pipelines, design flow solutions for specific use cases, and contribute to ML data pipelines.