Customer Services Data Product Owner with Data Engineering Skills

Customer Services Data Product Owner with Data Engineering Skills Description - Job Summary • This role is responsible for data collection procedures, including accurate and relevant data for machine learning models, extracting and analyzing data from the primary and secondary database. The role ensures data integrity and compliance by performing data cleansing and data validations. The role performs root-cause analysis and recommends or executes corrective actions when data related system problems occur. The role provides quantitative rationale for executing customer and product strategies and tactics. The role applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. Responsibilities • Leads one or more project teams of other data engineers for all stages of design and development for complex, secure and performant data solutions and models, including design, analysis, coding, testing, and integration of structured/unstructured data. • Reviews and evaluates designs and project activities for compliance with architecture, security and quality guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk. • Provides domain-specific expertise and overall data systems leadership and perspective to cross-organization projects, programs, and activities. • Drives innovation and integration of new technologies into projects and activities in the big data space. • Collaborates and communicates with project team regarding project progress and issue resolution. • Represents the data engineering team for all phases of larger and more-complex development projects. • Assists in the coaching and training of business analytics solution users to enhance business decision-making capability. • Ensures and maintains a high level of data integrity by using tools to monitor and mass update data changes. • Builds and manages relationships throughout the organization. • Provides guidance and mentoring to less experienced staff members. Education & Experience Recommended • Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, Statistics/ Mathematics, or any other related discipline or commensurate work experience or demonstrated competence. • Typically has 7-10 years of work experience, preferably in data analytics, data engineering, data modeling, or a related field. Must have: * Customer Services Processes Understanding * Expertise in Customer Services data products * Expertise in GBU data products, * Genie AI/BI conversation solutions, * Services support category know-how, process and program management Preferred Certifications • Programming Language/s Certification (SQL, Python, or similar) Knowledge & Skills • Agile Methodology • Amazon Web Services • Apache Hadoop • Apache Kafka • Apache Spark • Big Data • Computer Science • Data Analysis • Data Engineering • Data Modeling • Data Pipelines • Data Warehousing • Extract Transform Load (ETL) • Java (Programming Language) • Machine Learning • Microsoft Azure • Python (Programming Language) • Scala (Programming Language) • Scalability • SQL (Programming Language) Cross-Org Skills • Effective Communication • Results Orientation • Learning Agility • Digital Fluency • Customer Centricity 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. Sales and Services Entity (ES11) Job - Data & Information Technology Schedule - Full time Shift - No shift premium (Spain) Travel - No Relocation - No 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"