Graduate Data Engineer
Sant Cugat del Valles, Barcelona, Spain
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Schedule - Full time Shift -
Employment type in the employer’s listing: Full time
From the employer’s posting
What you’ll work on
Full postingHelp design and build data ingestion, transformation and testing for structured and unstructured data
Work with business stakeholders and technical teams to turn requirements into data solutions
Support work on reliability, quality, automation and continuous improvement
Help ensure data governance, privacy, security and quality standards are met
Evaluate and adopt new technologies, tools and engineering practices
From the employer’s posting
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 you’ll bring
All qualificationsCore experience
- 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.
Qualification wording
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.
Education & alternatives
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.
Tools in this posting
- Python
- SQL
- AWS
- Azure
- Databricks
- GCP
- Spark
Source — Tool mentions in context
- 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.
Benefits in the posting
Full benefits wording- 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
From the employer’s posting.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 8, 2026 · 44 days ago
- Recorded sightings
- 123
- Last seen by us
- Oct 22, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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Job description
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
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 TechnologySchedule -
Full timeShift -
No shift premium (Spain)Travel -
Relocation -
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"
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Sant Cugat del Valles, Barcelona, Spain
- Competitive benefits package, including: - Hybrid work model (home office / office), depending on the role/functions - Health & Life insurance
- Work authorization
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.
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