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THE ROLE
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 Regular 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.
Get involved in all aspects of the entire solution lifecycle, from idea creation to productization.
Utilize Azure and Azure Databricks 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, Git.
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.
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