Customer Services Data Product Owner with Data Engineering Skills 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.

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.
- 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.

Customer Services Processes Understanding





Expertise in Customer Services data products Expertise in GBU data products, Genie AI/BI conversation solutions, Programming Language/s Certification (SQL, Python, or similar) 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) • SQL (Programming Language) Digital Fluency • Work in a general organization with colleagues from 60+ nationalities, collaborating across cultures and geographies.

Continuous growth & career development: Hybrid work model (home office / office), depending on the role/functions Health & Life insurance Flexible working hours to support work–life balance HP Flex Program: Join our general employee networks such as Women, Pride, Inclusion, NextGen, Sustainability & DisAbility, with opportunities to get involved locally. Doctor and medical team available for annual checkups, nutrition, oral hygiene, physiotherapy, and general health. on workshops using the latest printing technologies, from wall covers to 3D printing.

Women Network initiatives: Networking events, STEM promotion, business acumen talks, work–life balance sessions, and future?skills development. Data & Information Technology Full time Shift - No shift premium (Spain) 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).

📌 Customer Services Data Product Owner With Data Engineering Skills (Laza)
🏢 HP
📍 Laza