Data Engineer - Remote

UST; Madrid; Presencial; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

UST, a multinational company in Madrid, is seeking a Data Engineer to contribute to impactful projects for global clients. You will collaborate with cross-functional teams to design and implement scalable data pipelines while ensuring data quality and security.

The ideal candidate will have expertise in Spark/Scala, Python, SQL, and AWS services like S3 and Glue. Join UST and be part of a high-caliber team delivering cutting-edge technology solutions.

Formación

• Strong understanding of a wide range of tools and technologies.
• Experience with ETL process design and data modeling.
• Ability to learn end-to-end knowledge of processes.

Responsabilidades

• Collaborate with teams to design scalable data pipelines.
• Ensure data quality and security in compliance with regulations.
• Apply modern data architecture concepts.

Conocimientos

Spark/Scala

Python

SQL

AWS

Inglés C1

S3

Glue

Athena

EMR

EC2

Lambda

ETL Design

Data Modeling

Descripción del empleo

Role Description

UST is a multinational company based in North America, certified as a Top Employer and Great Place to Work, with over 35,000 employees worldwide across more than 35 countries. We are leaders in digital technology services, delivering large‑scale technological solutions to big companies. We are looking for the very top talent and would be delighted if you joined our team.

What We Look For

We are seeking a Data Engineer to contribute to a project with one of our global customers. You will work closely with the client to deliver impactful programs as part of a high‑calibre team.

Responsibilities

Collaborate with cross‑functional teams to design and deliver scalable data pipelines, data warehouses, and data marts. Ensure data quality, security, and regulatory compliance while applying modern data architecture concepts such as data lakes, lakehouses, and data mesh.

Requirements

• Strong understanding of when to use a wide range of tools, rather than limited hands‑on experience with a narrow set of technologies. Know when to apply different tools and technologies—and when not to.
• Experience with Spark/Scala, Python, and SQL.
• Experience with AWS services: S3, Glue, Athena, EMR, EC2, and Lambda, including ETL process design and data modeling.
• Ability to learn and develop end‑to‑end (E2E) knowledge of processes, enabling sound decision‑making.
• Analytical thinking, with the ability to anticipate edge cases and future scalability challenges.
• Familiarity with CI/CD tools such as GitHub Actions.

Skills

Tarjetero de skills: Inglés C1, Spark/Scala, Python, SQL, AWS, S3, Glue, Athena, EMR, EC2 y Lambda, Diseño ETL y modelado de datos.