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# Data Engineer

- **Company:** Ust
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Continuous Integration, Extract Transform Load (ETL), Data Mart, Data Warehousing, Digital Technology, Github, Python (Programming Language), Scala (Programming Language), SQL Databases, Apache Spark, Data Lakes, Data Pipelines
- **Published:** July 16, 2026
- **Apply:** https://es.trabajo.org/oferta-2258-a56c0b83735eacc3a9bbbc601f7461c6

## About the Role

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.

## Description

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


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