Ingegnere dei dati (f / m)

UST; Madrid; Híbrido; EUR 45.000 - 60.000; Jornada completa

Descripción de la vacante

A multinational technology firm is seeking a talented Data Engineer to design and maintain scalable data pipelines for a client in the banking sector. The ideal candidate will have over 3 years of experience with Python and PySpark, strong cloud platform skills (AWS preferred), and an understanding of banking challenges. This role offers numerous benefits and a hybrid work model with a flexible environment.

Servicios

Health Care Plan

Teleworking compensation

Life and Accident Insurance

Flexible Retribution Program

Formación

• 3+ years of experience with Python and data engineering.
• Strong proficiency in PySpark and distributed data processing.
• Hands-on experience with cloud platforms, AWS preferred.

Responsabilidades

• Design and maintain scalable data pipelines and cloud infrastructure.
• Collaborate with data and engineering teams to design and build efficient data pipelines.
• Leverage Python and PySpark for complex data processing and transformation.

Conocimientos

Python

PySpark

Data engineering

Distributed data processing

Cloud platforms (AWS preferred)

Machine learning workflows

English fluency

Herramientas

AWS

Azure

GCP

Descripción del empleo

Overview

More in detail, UST is a multinational company based in North America, certified as a Top Employer and Great Place to Work company with over 35. We are leaders on digital technology services, and we provide large-scale technologic solutions to big companies. We’re seeking a talented and team-oriented Data Engineer to join us and collaborate with one of our trusted clients in the banking sector.

Responsibilities

• Design and maintain scalable data pipelines and cloud infrastructure, driving innovation within the client’s data ecosystem.
• Collaborate with the customer’s data and engineering teams to design and build secure, scalable, and efficient data pipelines and infrastructure.
• Leverage Python and PySpark to perform complex data processing and transformation tasks.
• Develop and manage cloud-based solutions with a focus on AWS.
• Enable machine learning workflows by providing clean, structured, and high-quality data for training and inference.

Qualifications

• 3+ years of experience with Python and data engineering.
• Strong proficiency in PySpark and distributed data processing.
• Hands-on experience with cloud platforms (AWS preferred; Azure or GCP is an advantage).
• Familiarity with banking sector challenges, such as compliance, security, and big data.
• Understanding of machine learning workflows and data preparation.
• Fluent in English.
• Hybrid (2 days in office, 3 days remote).

Benefits

• Numerous benefits (Health Care Plan, teleworking compensation, Life and Accident Insurance).
• Retribución Flexible Program: (Meals, Kinder Garden, Transport, online English lessons, Health Care Plan…)
• Free access to several training platforms
• Real Work Life Balance measures (flexibility, WFH, or remote work policy)