ppAt ThetaRay, our purpose is to make the world a safer place by protecting the integrity of the global financial system. /ppWe 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. /ph3About the role: /h3pWe 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. /ppIf 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 general financial institutions, ThetaRay could be your next challenge. /ph3Responsibilities /h3ulliImplement and maintain data pipeline flows in production within the ThetaRay system based on the data scientist’s design /liliDesign and implement solution-based data flows for specific use cases, enabling the applicability of implementations within the ThetaRay product /liliBuilding a Machine Learning data pipeline /liliCreate data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader /liliWork with product, RD, data,



and analytics experts to strive for greater functionality in our systems /liliTrain customer data scientists and engineers to maintain and amend data pipelines within the product /liliTravel to customer locations both domestically and abroad /liliBuild and manage technical relationships with customers and partners /li /ulh3Requirements /h3ulli2+ years of Hands-on experience working with Apache Spark - must /liliHands-on experience with SQL /liliHands-on experience with version-control tools such as GIT /liliHands-on experience with Apache Hadoop Ecosystem including Hive, Impala, Hue, HDFS, Sqoop etc.. /liliExperience with Python (Pandas) /liliExperience with PySpark/Scala/Java/R /liliHands-on experience with data transformation, validations, cleansing, and ML feature engineering /liliBSc degree or higher in Computer Science, Statistics, Informatics, Information Systems, Engineering, or another quantitative field /liliExperience working with and optimizing big data pipelines, architectures, and data sets - an advantage /liliStrong analytic skills related to working with structured and semi-structured datasets /liliBuild processes supporting data transformation, data structures, metadata, dependency, and workload management /liliExperience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement /liliBusiness-oriented and able to work with external customers and cross-functional teams /liliFluent in English French both written and spoken /li /ulh3Nice to have /h3ulliExperience with Linux /liliExperience in building Machine Learning pipeline /liliExperience with Elasticsearch /liliExperience with Zeppelin/Jupyter /liliExperience with workflow automation platforms such as Jenkins or Apache Airflow /liliExperience with Microservices architecture components, including Docker and Kubernetes. /li /ul /p #J-18808-Ljbffr

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