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Regular Data engineer

SAP

SAP

Data Science
Sofia, Bulgaria
Posted on Tuesday, July 2, 2024

We help the world run better

Our company culture is focused on helping our employees enable innovation by building breakthroughs together. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. Apply now!

The development center of SAP in Bulgaria plays a key role in the defining and developing of the SAP Business Technology Platform. With its more than 1400 professionals, SAP Labs Bulgaria also has strong contributions toward life-cycle management, user interface & user experience across the broader portfolio of SAP products and has recently welcomed new teams focusing on business applications. For its 24-year history, the company has established itself as a preferred employer in the IT sector in Bulgaria.

ABOUT US

The SAP CPIT Product, Data and Technology organization has the purpose to “Deliver and Run the Intelligent Enterprise”. CPIT is SAP’s technology backbone and most compelling reference customer, and as such, we influence SAP product development and strategy, with our customer experience at heart. To support the updated SAP AI Strategy and the company vision on Generative AI, we need to strengthen our team to accelerate delivery of Data & AI Cloud Solutions.

THE ROLE

We’re looking for a Data Engineer, with an entrepreneurial spirit to join our Data Science, AI and Big Data team and work on innovation projects.

As a Data Engineer, you will take responsibility for the development and deployment of new functionalities for the company's data platforms.

You will have the opportunity to practice and develop in-depth knowledge of the following technologies:

  • Azure-based Cloud platform: Azure Data Lake, Databricks

  • Data Engineering with Delta Lake, PySpark, Databricks SQL

  • Applications with SAP Business Technology Platform (HANA Cloud, SAP Analytics Cloud)

You will work in an agile development environment (SAFe) following DevOps best practices (GitHub, Jenkins CI/CD).

As a Senior Data Engineer, you will:

  • Contribute to the implementation of best-in-class services for our SAP Cloud Data & ML Platform, industrializing the entire Data Engineering pipelines (DevSecOps)

  • Get involved in all aspects of the entire solution lifecycle, from idea creation to productization

  • Utilize Azure and BTP cloud infrastructure to evolve and extend our Data Pipeline platform services

  • Demonstrate excellent skills in product design, architecture and development

  • Implement high-quality ideas efficiently, with a focus on technical expertise and attention to detail

What you will bring

  • Bachelor‘s or master’s degree in business informatics, computer science, engineering or related technical fields

  • Ability to communicate complex concepts in simple terms to a non-technical audience

  • Good analytical and critical thinking

  • 4+ years of experience in Big Data and Data Engineering pipeline design

  • Strong proficiency in Python

  • Experience in Cloud & AI technologies (e.g. Microsoft Azure, Databricks, Spark)

  • Hands-on experience with Jenkins to automate software development processes

  • Deep understanding of security design concepts and their integration into system architecture

We build breakthroughs together

SAP innovations help more than 400,000 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 200 million users and more than 100,000 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, we build breakthroughs, together.

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 and more equitable world.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide 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.

EOE AA M/F/Vet/Disability:

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Successful candidates might be required to undergo a background verification with an external vendor.

Requisition ID: 393508 | Work Area: Information Technology | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.