At ThetaRay, our purpose is to make the world a safer place by protecting the integrity of the integral financial system. We do this by putting AI at the core of both our technology and our way of working. Our AI-driven solutions help banks and fintech companies worldwide detect and stop serious financial crime, from human trafficking and terrorist financing to sophisticated money laundering, while advanced technology, automation, and AI-driven tools help our teams collaborate smarter, move faster, and continuously improve how we build, deliver, and innovate.

About the role: We are looking for a French speaking Data Engineer to turn expertise, initiative, and bold thinking into real impact on the next generation of AI-driven financial crime detection. If you combine strong data engineering capabilities with hands-on experience in building and optimizing data pipelines and transformations at scale, and if you are motivated by designing the data flows that power real-world money laundering detection for global financial institutions, ThetaRay could be your next challenge. Responsibilities:

Implement and maintain data pipeline flows in production within the ThetaRay system based on the data scientist’s design

Design and implement solution-based data flows for specific use cases, enabling the applicability of implementations within the ThetaRay product

Building a Machine Learning data pipeline

Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader

Work with product, R&D;, data, and analytics experts to strive for greater functionality in our systems





Train customer data scientists and engineers to maintain and amend data pipelines within the product

Travel to customer locations both domestically and abroad

Build and manage technical relationships with customers and partners Requirements

2+ years of Hands-on experience working with Apache Spark - must

Hands-on experience with SQL

Hands-on experience with version-control tools such as GIT

Hands-on experience with Apache Hadoop Ecosystem including Hive, Impala, Hue, HDFS, Sqoop etc..

Experience with Python (Pandas)

Experience with PySpark/Scala/Java/R

Hands-on experience with data transformation, validations, cleansing, and ML feature engineering

BSc degree or higher in Computer Science, Statistics, Informatics, Information Systems, Engineering, or another quantitative field

Experience working with and optimizing big data pipelines, architectures, and data sets - an advantage

Strong analytic skills related to working with structured and semi-structured datasets

Build processes supporting data transformation, data structures, metadata, dependency, and workload management

Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement

Business-oriented and able to work with external customers and cross-functional teams

Fluent in English & French both written and spoken Nice to have

Experience with Linux

Experience in building Machine Learning pipeline

Experience with Elasticsearch

Experience with Zeppelin/Jupyter

Experience with workflow automation platforms such as Jenkins or Apache Airflow

Experience with Microservices architecture components, including Docker and Kubernetes.

📌 Data Engineer (French Speaking) (Madrid)
🏢 Thetaray
📍 Madrid