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Senior Data Engineer - SAP Signavio

SAP

Berlin, Berlin, GermanyOn Site

Original Job Summary

About the Role

The Senior Data Engineer - SAP Signavio at SAP is responsible for designing, developing, and maintaining scalable and robust ETL pipelines. The role supports data-driven insights and provides analytics capabilities to SAP Signavio's Product & Engineering team.

Key Responsibilities

  • Design, develop, and optimize ETL pipelines using S3, Redshift, Airflow, Spark, and REST API.
  • Integrate SAP analytics products including SAP Datasphere, SAP Analytics Cloud, and SAP HANA Cloud.
  • Collaborate with various teams for requirements gathering and implementation support.
  • Mentor and coach team members in technical skills and best software engineering practices.

What You Will Bring

  • Excellent communication skills to explain technical concepts clearly.
  • Strong analytical and problem-solving capabilities.
  • Proficiency in Python and SQL with experience in cloud data warehousing.
  • Expertise in data modelling, analysis, and system architecture.
  • Adherence to CI/CD, TDD, code reviews, and coding standards.

About SAP and SAP Signavio

SAP, a global leader in enterprise software, is committed to innovative business solutions aimed at a digital future. SAP Signavio, one of SAP's top performing business units, focuses on process management and analytics to improve business operations at scale.

Key skills/competency

ETL, Python, SQL, S3, Redshift, Airflow, Spark, REST API, SAP Datasphere, Data Modeling

How to Get Hired at SAP

🎯 Tips for Getting Hired

  • Customize your resume: Highlight ETL and SAP analytics skills.
  • Showcase technical projects: Emphasize Python and SQL accomplishments.
  • Prepare for interviews: Review ETL, data warehousing, and cloud concepts.
  • Research SAP culture: Understand their mission and collaboration values.

📝 Interview Preparation Advice

Technical Preparation

Review ETL pipeline construction techniques.
Practice Python and SQL coding challenges.
Study cloud data warehousing fundamentals.
Understand SAP Analytics integration methods.

Behavioral Questions

Describe a time you guided a teammate.
Explain handling conflicting project requirements.
Discuss adapting to change in team environments.
Share experiences navigating technical challenges.