Senior Data Engineer

Senior Data Engineer

Description -

Join our Go To Market Analytics Centre of Excellence and make a significant impact by developing machine learning products that enhance pricing and marketing strategies. Our goal is to influence pricing and marketing decisions across all HP products worldwide, leveraging advanced analytics, AI, and machine learning.

We're seeking a Data Engineer to help us optimize our data systems in our MLOps team. You'll be part of a project team, working on all aspects of complex data systems, from design to integration, and leading the evolution of our data architecture.

What sets us apart:

• Cutting-edge technologies.

• Opportunities for diverse learning experiences.

• A highly collaborative and international work environment.

Role responsibilities:

• Working alongside various teams of MLOps and Software engineers to assist in the design, development, testing and integration of data systems.

• Engaging with stakeholders from various backgrounds and managing team-level objectives.

• Championing operational excellence with a focus on reliability, quality, and efficient automation.

• Leading the adoption of new technologies to evolve our data systems in our architectures.

• Providing guidance and mentorship to less experienced team members.

Job Requirements:

• A Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field.

• 7+ years of experience in data engineering or similar roles.

• Expertise in data engineering systems (e.g., Databricks, SQL engines) and optimizing both relational and non-relational databases.

• Proficiency in Python Programming and SQL-language.

• Prior experience with Apache Spark (PySpark) is a plus.

• Experience in cloud-native product design and operation, preferably with a major cloud vendor like AWS.

• A solid understanding of data-intensive system principles (e.g., consistency, sharding, horizontal scaling).

• Demonstrated working knowledge of CI/CD pipelines.

• Ability to work on Agile Scrum teams.

• Advanced verbal and written communication skills.

• Ability to work independently under a fast-paced environment.

Entity Sales and Services

Job -

Data & Information Technology

Schedule -

Full time

Shift -

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.

If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement