Graduate Data Engineer
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Job Summary
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
Bachelors or Masters 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 HPs learning platform to keep growing your skills.
Competitivebenefits 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 worklife balance
HP Flex Program: Kindergarten vouchers & Transport Card
Exclusive HP products offers and discounts for employeesfriendsand 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 Hourfrom photos to large postersandhandsonworkshops 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 worklife balance sessions andfuture skillsdevelopment.
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 HPsEEO Policy or read about your rights as an applicant under the law here: Know Your Rights: Workplace Discrimination is Illegal
Required Experience:
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