Seeks A Data Engineer

September 6, 2026

Hybrid

Junior

Madrid, Spain

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English is required

Description

UST seeks a Data Engineer/Data Scientist to serve a leading banking client. The role involves building scalable PySpark pipelines, developing predictive ML models and managing AWS SageMaker environments within a hybrid Madrid setting.

Responsibilities

Design, develop and maintain scalable data pipelines using PySpark
Build predictive models implementing regression, classification and clustering algorithms
Manage AWS SageMaker environments for model training and deployment
Perform data querying and analysis using Amazon Athena
Integrate machine learning models into pipelines and monitor them in production (MLOps)

Requirements

Advanced proficiency in Python (Pandas, NumPy, Scikit‑learn) and advanced SQL
Experience with PySpark for building scalable data pipelines
Knowledge of machine learning algorithms and hyperparameter optimization
Familiarity with Git and collaborative workflows (GitHub)
Experience with AWS SageMaker and Amazon Athena for model deployment and querying

Conditions

Hybrid work arrangement with two days in office and three days remote
23 vacation days plus additional holidays on December 24 and 31
Comprehensive social benefits including medical, life and accident insurance
Flexible working hours, telework assistance and access to training platforms
Option to receive salary in 12 or 14 installments

PythonSQLPySparkAWS SageMakerAmazon AthenaGitGitHubbanking

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