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# Graduate Data Engineer

- **Company:** HP
- **Location:** Sant Cugat del Vallès, Spain
- **Contract:** Internship / Graduate position
- **Skills:** Agile Methodology, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Information Systems, Information Engineering, Data Governance, Data Systems, Python (Programming Language), Machine Learning, Software Engineering, SQL Databases, Unstructured Data, Software Organization, Data Ingestion, Apache Spark, Git, Information Technology, Software Version Control, Databricks
- **Published:** September 7, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=ef43f41fa9a61f66

## About the Role

* Bachelor's or Master's degree in Data Engineering, Computer Science, Information Systems, or a related field, obtained within the last 12 months.
 * Hands-on experience with data engineering concepts and technologies such as Python, SQL, Databricks, Apache Spark, cloud platforms (AWS, Azure, or GCP), gained through academic projects, internships, research, or personal initiatives.
 * Understanding of data systems, software development best practices, version control (Git), testing, and Agile ways of working.
 * Relevant internship, co-op, or project experience in data engineering, analytics, software engineering, machine learning, or related fields is a strong advantage.
 * Strong analytical and problem-solving skills, with a proactive mindset, curiosity to learn, and ability to work effectively in a collaborative environment.
 * Fast learner with a can-do attitude, strong sense of ownership, and passion for leveraging data and technology to solve business challenges.

## Description

* Contribute as part of a cross-functional team to the design and development of secure, scalable, and high-performing data systems and solutions, including data ingestion, transformation, testing, and integration of structured and unstructured data.
 * Collaborate with business stakeholders and technical teams to understand requirements and deliver data-driven solutions.
 * Support operational excellence initiatives focused on reliability, quality, automation, and continuous improvement.
 * Help ensure compliance with data governance, privacy, security, and quality standards.
 * Participate in the evaluation and adoption of new technologies, tools, and engineering best practices.


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