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SAP
SAP

The best-run businesses run SAP.

Data & Analytics Engineer

职能数据工程
级别中级
方式现场办公
类型全职
发布1周前
立即申请
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. Are you passionate about shaping the future of data & analytics at SAP and working in the cloud? Join a highly motivated, international team at the forefront of analytics and data within SAP’s IT organization. We’re seeking a Data & Analytics Engineer with 3–5 years of experience to drive our cloud transformation, own end-to-end delivery of data products, and bridge strategic business needs with cutting-edge technology. Your primary tasks include: Own the end-to-end lifecycle of data products and analytical solutions—from discovery and design to build, deployment, and support—based on business priorities and performance constraints. Define and implement best-practice architectures and analytical data models using Business Data Cloud (BDC), SAP HANA Cloud, SAP Datasphere, and Databricks. Translate and challenge business requirements for value, effort, and complexity; define acceptance criteria and deliver scalable, maintainable solutions. Design, build, and optimize ELT/ETL pipelines using SQL and Python (Databricks), integrating SAP and non-SAP data sources. Establish and uphold engineering standards (version control, code reviews, CI/CD, automated testing, data quality/observability, and cost/performance optimization). Identify, troubleshoot, and resolve issues in existing reporting and data content; propose and implement improvements that deliver measurable business value. Collaborate in an agile Scrum team Ensure robust data governance, security, and compliance (RBAC, lineage, metadata management) across Datasphere, SAC, and related platforms. Partner closely with product owners and business stakeholders to enable self-service analytics and trusted data consumption. Skills & Experience: Master’s or Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field. 3–5 years of hands-on experience in analytics engineering, data modeling, or data engineering delivering production-grade data products. Strong analytical data modeling and architecture skills (dimensional/semantic modeling, star schema) and performance tuning on HANA Cloud/Datasphere. Proficiency with SAP Datasphere and SAP Analytics Cloud (SAC); practical experience designing models, views, semantic layers, and SAC stories/dashboards. Experience with at least two of the following: SAP BDC, SAP HANA Cloud, SAP Datasphere; and hands-on development on Databricks using Python/PySpark and SQL (Delta Lake experience a plus). Solid software engineering practices: Git-based workflows, CI/CD pipelines, automated testing, and documentation. Experience working in Scrum/agile teams with the ability to lead sub-initiatives and collaborate across functions. Familiarity with SAP business processes (e.g., Finance, Procurement, Sales) is a plus. Knowledge of data governance, cataloging, security, and privacy best practices. Strong analytical, communication, and stakeholder management skills. Why Join Our Team? Our organization is the trusted foundation of the Intelligent Enterprise at SAP. We generate unparalleled efficiency and scale data-driven decision making for all SAP employees across Corporate Functions Process and Analytics through process simplification, automation and Business AI, and data democratization. Leveraging SAP’s latest technologies, we create a seamless experience that empowers end users at every level to access trusted data across our system landscape—fueling insights beyond the ordinary and enabling intelligent action and steering excellence. Would you like a shorter version tailored for LinkedIn or a version customized for a specific location or team? #CFA 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. Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. Successful candidates might be required to undergo a background verification with an external vendor. 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: 451938 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid

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关于SAP

SAP

SAP

Public

The best-run businesses run SAP.

10,001+

员工数

Walldorf

总部位置

$157B

企业估值

评价

10条评价

3.8

10条评价

工作生活平衡

3.2

薪酬

3.5

企业文化

4.1

职业发展

3.4

管理层

3.6

65%

推荐率

优点

Flexible hours and remote work options

Supportive management and team collaboration

Good benefits and training programs

缺点

Work-life balance challenges and overwhelming workload

Fast-paced environment with unrealistic deadlines

Limited career advancement opportunities

薪资范围

2个数据点

Intern

L3

L4

L5

Intern · Data Scientist

0份报告

$68,766

年薪总额

基本工资

-

股票

-

奖金

-

$58,453

$79,079

面试评价

5条评价

难度

4.0

/ 5

时长

14-28周

体验

正面 0%

中性 40%

负面 60%

面试流程

1

Application Review

2

HR/Recruiter Screen

3

Phone/Technical Screen

4

Hiring Manager Interview

5

Onsite/Panel Interview

6

Technical Assessment

常见问题

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience

SAP-Specific Technical Skills