Senior Data Engineer for People Analytics

Benefits

Parental leave

6 weeks From the posting source checked Jun 20, 2026

Non-birth-parent leave

6 weeks From the posting source checked Jun 20, 2026

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked May 7, 2026

Salary

Not verified

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

Was this benefit information wrong? Tell us.

Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Data Engineer for People Analytics Region Europe | Country Czech Republic | Internal Posting Location Prague We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What You'll Build In this role, you'll create scalable, end-to-end Data Products that serve as the data foundation for transformative business decisions including AI scenarios. Moving beyond conventional reporting, you will develop robust data pipelines and models using a modern stack including Python, Databricks, SAP Business Data Cloud, SAP HANA Cloud, and Azure Data Lake Storage. You'll be responsible for delivering the full lifecycle of data engineering from raw ingestion to consumption, implementing best-practice data architectures to ensure solutions are production-grade, future-ready, and scalable. Your work will empower teams with faster, smarter insights, bridging the gap between business needs and technical execution. By transforming complex data challenges into accessible, high-performance solutions, you'll help drive meaningful outcomes. As a senior team member, you will proactively drive projects forward, fostering collaboration with stakeholders and team members to ensu

Read the full description at jobs.sap.com. FewerJobs shows a preview and links to the original posting.