Graduate Data Engineer

Hewlett Packard Enterprise; Sant Cugat del Vallès; Presencial; EUR 32.000 - 52.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Health & Life insurance

Lunch vouchers

Flexible working hours

Kindergarten vouchers

Transport Card

Employee discounts

Volunteer day

Descripción de la vacante

Hewlett Packard Enterprise is seeking a Graduate Data Engineer to join our Go To Market Analytics Centre of Excellence. You will help transform raw data into structured, scalable, high-quality data powering AI-driven pricing and marketing insights across HP products globally.

This role is designed for recent graduates eager to launch a career in data engineering, gaining hands-on experience in a fast-paced, collaborative environment with exposure to modern analytics tooling and cloud platforms.

Formación

• 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).
• 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.]
• job_responsibilities_description:[

Responsabilidades

• Contribute as part of a cross-functional team to design and develop secure, scalable data systems, including 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 evaluating and adopting new technologies, tools, and engineering best practices.

Conocimientos

Python

SQL

Databricks

Apache Spark

Cloud platforms (AWS/Azure/GCP)

Agile practices

Git

Educación

Bachelor's or Master's in Data Engineering or CS

Herramientas

Databricks

Git

Descripción del empleo

Graduate Data Engineer Description

Mission In the Go To Market Analytics Centre of Excellence, our mission is to deliver impact by building machine learning products that optimize pricing and marketing investments and provide guidance to our sales organization. The products we are building are of high value to the company, with the ambition to influence pricing decisions and marketing investments for HP products globally and across all distribution channels, utilizing advanced analytics, machine learning, and AI. To achieve this, we are looking for a Graduate Data Engineer to help implement best engineering practices and transform data from a raw resource into structured, scalable, high-quality, and compliant fuel powering our AI-driven products and solutions.

This role is designed for recent graduates looking to launch their careers in data engineering while developing hands‑on experience in a highly innovative and collaborative environment.

What makes us stand out Best‑in‑class technologies. Diverse learning and development opportunities. Super collaborative environment and international experience.

Responsibilities

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.

What we are looking for

• 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.

What we offer

Competitive benefits package, including:

• Hybrid work model (home office / office), depending on the role/functions
• Health & Life insurance
• Ticket Restaurant Vouchers or lunch at reduced prices at our canteen
• Flexible working hours to support work‑–life balance
• HP Flex Program: Kindergarten vouchers & Transport Card
• Exclusive HP products offers and discounts for employees, friends and family
• Inclusion & belonging at the core: Join our global employee networks such as Women, Pride, Inclusion, NextGen, Sustainability & DisAbility, with opportunities to get involved locally.
• Give back to the community: Participate in volunteering initiatives or join our annual HP Charity Day held onsite.
• Stay active & energized: Access our sports center (indoor & outdoor) with 25+ coordinated activities.
• Onsite medical services: Doctor and medical team available for annual checkups, nutrition, oral hygiene, physiotherapy, and general health.
• Creativity & innovation: Enjoy our Printing Happy Hour—from photos to large posters—and hands‑on workshops using the latest printing technologies, from wall covers to 3D printing.
• Easy commuting: Free parking available or excellent access via nearby train services.

Entity: Sales & Services Job - Data & Information Technology Schedule - Full time Shift - No shift premium (Spain) Travel - Relocation - Equal Opportunity Employer (EEO)

Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"

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