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SAP • Berlin, DE

Senior Data Engineer - Intelligent Search (f/m/d)

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Job Description

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 do


Summary:
The Senior Data Engineer - Intelligent Search (f/m/d) builds scalable crawlers, ingestion, enrichment, and indexing pipelines that power SAP's AI Search service offering for multiple scenarios within the company. Join a collaborative team delivering fresh, high-quality content and reliable search across the enterprise.

The Role:

  • Join a global, agile delivery team to extract, enrich, and deliver high-quality data powering a wide range of SAP use cases
  • Develop and continuously evolve a JavaScript/TypeScript-based modular crawler framework for high-performance, large-scale data extraction
  • Configure new crawler jobs in close collaboration with data source owners and service teams
  • Integrate with REST and GraphQL APIs to acquire and enrich data
  • Ingest and process datasets with the use of AI/ML in Databricks using PySpark and Delta Lake to integrate processed data into target systems such as OpenSearch and Coveo
  • Monitor and troubleshoot crawler jobs on Kubernetes; analyze logs, execute tests, and debug issues
  • Improve data quality and optimize/maintain crawlers and modules using established tooling
  • Collaborate closely within your team and with supporting units and stakeholders

What you bring

We are looking for an innovative, self-driven team player to become an integral part of our development team:

  • University Degree in Computer Science, Engineering, or similar
  • 5+ years of professional working experience in software development
  • Strong proficiency in Node.js, TypeScript, and Python/PySpark
  • Proven web crawling, HTML parsing, and REST/GraphQL API integration skills
  • Experience applying AI/ML to data enrichment workflows
  • Hands-on with Databricks, Delta Lake, and Azure ADLS Gen2
  • Experience with OpenSearch/Elasticsearch (optionally Coveo)
  • Understanding of Kubernetes, Docker, and containerized execution
  • Experience with designing, implementing, and maintaining CI/CD pipelines
  • Strong log analysis and troubleshooting skills
  • Proficient in both German and English, with strong communication skills

Meet your team

The Intelligent Search team, a part of the Corporate Processes & Information Technology (CPIT) organization within SAP, is on an exciting journey to develop, enhance, and operate the strategic Intelligent Search Service end-to-end. This includes the whole process from gathering content from various source systems through crawling, AI Search and UI development, and integration into consuming websites, platforms, or agentic AIs. As we drive the adoption of our service, we actively collaborate with various critical LoBs and teams within SAP. Our solutions are globally utilized by customers, partners, and employees.
The team consists of motivated individuals from various locations, primarily working out of the EMEA region. We value curiosity, quality, and collaboration to support our organization-wide AI strategy.

Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

We win with inclusion
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Requisition ID: 439591 | Work Area: Information Technology | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Part Time or Regular Full Time | #LI-Hybrid

Company benefits

25 (UK) 30 (Germany) 21 (India) days annual leave + bank holidays
Accrued annual leave – 1 day/year up to 30 days (UK)
Open to job sharing
Sabbaticals
Adoption leave – Up to 52 weeks (UK)
Open to part time work for some roles
Returnship
Equity packages
Shared parental leave
Enhanced maternity leave
Fertility benefits
Pregnancy support
On-site childcare
Share options
Electric Car Salary Sacrifice
Gym membership
Dental coverage
Health insurance
Private GP service
Mental health platform access
Life assurance
Life insurance
Enhanced pension match/contribution
Enhanced paternity leave
Travel insurance
Cycle to work scheme
On-site gym
Bike parking
Enhanced sick pay
Emergency leave
Enhanced sick days
Company car
Open to part-time employees
Work from anywhere scheme
Childcare credits
Fertility treatment leave
Pregnancy loss leave
Carer’s leave
Nursery salary sacrifice scheme
Family health insurance
Women’s health leave
Annual bonus
401K
Referral bonus
Joining bonus
Employee discounts
Loyalty programme
Non-contributory pension
Personal development days
Personal development budgets
L&D budget
Language lessons
LinkedIn learning license
Study support
Studying sabbaticals
Lunch and learns
In house training
Hackathons
Professional subscriptions
Further education support

Working at SAP

Company employees

107,000

Gender diversity (male:female)

65:35

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