Data Engineer

HP France

full-time

Posted on: 10/12/2025

Location Type: Office

Location: Bengaluru • 🇮🇳 India

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Job Level

Mid-LevelSenior

About the role

Own and drive all Reporting relevant topics for their area of focus.
Understand requirements and turn them into projects and initiatives within the team.
Define Semantic Models/App design and strategy with data consumers.
Responsible for Data Product Quality scores and KPIs, including Customer satisfaction index and their improvement.
Document, publish and keeps up to date key artifacts for owned Data Product.
Define Service Level Objectives (SLO) and works with Data Platform Ops team.
Approve data access and monitor proper usage of owned Data Products.
Support Quality issues resolution involving data system of origin.
Make sure data quality, accuracy and timeliness is being treated as the top-priority.

Requirements

5+ years of professional experience within either Sales Ops, Sales or Finance organizations.
Experience working with global teams with minimal supervision.
Bachelor’s or master’s degree in business administration, engineering, or project management.
Very good understanding of BI technology.
Good experience with BI visualization tools (e.g. Power BI, ThoughtSpot) and their implementation.
Experience with Sales or Finance tools has a distinct advantage.
Basic data modeling and database design understanding is a plus.

Benefits

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).

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

data modelingdatabase designbusiness intelligence (BI)data product qualityservice level objectives (SLO)key performance indicators (KPI)customer satisfaction index