
The best-run businesses run SAP.
IT Data & Analytics Senior Specialist
必須スキル
Python
Azure
Scala
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 backbone for transformative business decisions. 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 ensure seamless execution and alignment with business objectives. Your proactive approach will uncover inefficiencies and create space for innovation, introducing automation and strategic enhancements that maximize value for our internal customers.
You will thrive in an Agile/Scrum environment that values curiosity and continuous improvement, constantly exploring new possibilities to deliver exceptional results that enable informed decisions.
What You Bring Education & Professional Background
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Education: Master’s degree (or equivalent) in Computer Science, Engineering, Business Information Technology, or a related field.
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Experience: Proven track record in analytical or data engineering roles, ideally within consulting or development environments.
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Methodology: Experience working in Agile/Scrum environments is highly desirable.
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Communication: Ability to build trust and clarity across diverse teams, ensuring alignment with strategic objectives.
Technical Competencies
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Core Languages: Proficiency in Python (mandatory); knowledge of Scala is a plus.
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Data Products: Experience designing and implementing scalable Data Products (end-to-end lifecycle from ingestion to consumption).
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Data Modeling: Strong background in analytical data modeling, data architectures, and building robust data pipelines for large datasets.
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Database Skills: Advanced knowledge of SQL database modeling, specifically within SAP HANA or equivalent high-performance databases.
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DevOps & Automation: Familiarity with CI/CD pipelines (e.g., GitHub Actions) and version control (Git) for production-grade delivery.
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Platforms & Tools: Hands-on experience with:
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SAP Business Data Cloud
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SAP HANA Cloud
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Databricks
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Azure Data Lake Storage (ADLS)
Soft Skills & Aptitude
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Inclusive mindset with a passion for collaboration and knowledge sharing.
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Strong analytical thinking and problem-solving skills.
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Proactive and adaptable, thriving in environments that encourage creativity and continuous learning.
Where You Belong
Join a purpose-driven, inclusive team that values collaboration over competition and empowers individuals to shape solutions that matter. We embrace diversity of thought and background, creating an environment where everyone can contribute and grow. At SAP, you’ll have the freedom to innovate, access next-generation technologies, and make a tangible impact on how data drives decisions.
#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: 444795 | Work Area: Information Technology | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations:
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SAPについて

SAP
PublicThe best-run businesses run SAP.
10,001+
従業員数
Walldorf
本社所在地
$157B
企業価値
レビュー
10件のレビュー
3.8
10件のレビュー
ワークライフバランス
3.2
報酬
3.5
企業文化
4.1
キャリア
3.4
経営陣
3.6
65%
知人への推奨率
良い点
Flexible hours and remote work options
Supportive management and team collaboration
Good benefits and training programs
改善点
Work-life balance challenges and overwhelming workload
Fast-paced environment with unrealistic deadlines
Limited career advancement opportunities
給与レンジ
2件のデータ
Intern
L3
L4
L5
Intern · Data Scientist
0件のレポート
$68,766
年収総額
基本給
-
ストック
-
ボーナス
-
$58,453
$79,079
面接レビュー
レビュー5件
難易度
4.0
/ 5
期間
14-28週間
体験
ポジティブ 0%
普通 40%
ネガティブ 60%
面接プロセス
1
Application Review
2
HR/Recruiter Screen
3
Phone/Technical Screen
4
Hiring Manager Interview
5
Onsite/Panel Interview
6
Technical Assessment
よくある質問
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Past Experience
SAP-Specific Technical Skills
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