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.

Benefits

• A truly international experience: Work in a global organization with colleagues from 60+ nationalities, collaborating across cultures and geographies.
• Continuous growth & career development: Multiple internal mobility and career opportunities, supported by HP’s learning platform to keep growing your skills.
• 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.
• Women Network initiatives: Networking events, STEM promotion, business acumen talks, work–life balance sessions, and future skills development.
• Entity: Sales & Services
• Job -
• Data & Information Technology
• Schedule -
• Full time
• Shift -
• No shift premium (Spain)
• Travel -
• Relocation -