7 publicaciones de empleo destacadas de scientist advanced analytics madrid en madrid, md (¡Están contratando!)

Data Engineer
ThetaRay —Madrid, Madrid provincia
- Español
- Informática
- Inglés
Senior Data & AI Consultant
EPAM Systems, Inc. —Madrid, Madrid provincia
- CRM software
- Azure
- Salesforce
- Vacaciones pagadas
- Programa de recomendación
Senior Dataiku Specialist
EPAM Systems, Inc. —Madrid, Madrid provincia
- Azure
- Inglés
- Oficina
- Vacaciones pagadas
- Programa de recomendación
Lead Data Platform Engineer (Databricks)
SIX Group AG —Madrid, Madrid provincia
- Teletrabajo
- Azure
- Informática
- Inglés
Senior AI Engineer - GenAI
IQVIA —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- Hospital
Senior AI Data Engineer
IQVIA —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- Java
Big Data Architect
Solera —La Moraleja, Madrid provincia
- Desde 40.000 € al año
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- Inglés
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Data & Analytics Academy – Future Data Analytics Consultant / Engineer Madrid
The Information Lab Italia Srl —Madrid, Madrid provincia
Diseño de bases de datos y arquitectura de datos, pipelines ETL/ELT end-to-end (Snowflake / Databricks / Fabric / dbt).
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Data Engineer

ThetaRay
Madrid, Madrid provincia

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Detalles del empleo

Cualificaciones

Español
Elasticsearch
Informática
Big data
Estructura de datos
Spark
R
Microsoft SQL Server
Git
Inglés
Java
Arquitectura de microservicios
SQL
Docker
Machine learning
Scala
Linux
Apache
Jenkins
Python
Hadoop

Descripción completa del empleo

Madrid, Spain

Description

At ThetaRay, our purpose is to make the world a safer place by protecting the integrity of the global 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 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 & Spanish 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.

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