Associate Data Engineer

at  SAP

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.

WHAT YOU’LL BRING

We are looking for a candidate who possesses a passion for innovation and data-driven solutions paired with a hands-on can-do attitude. The ideal candidate will be a self-motivated expert with a love for delivering quality data sets.

• 0 - 3 Years of experience and a university degree in a technical field.
• Practical data processing skills especially with unstructured text.
• UNIX/LINUX Operating system savvy
• Solid foundation in computer science
• Applied knowledge in Python & Spark
• Experience building and optimizing big data pipelines.
• Creative thinking, willingness, and ability to learn new concepts and technologies.
• Fluent in English, both verbal and written communication skills

As a data-driven solutions team we are looking for a data engineer that helps us design, build and operate our data pipelines and data storage aspects of our solutions. We are looking for colleagues that are self-driven and don’t shy away from trying new unconventional methods to build new state-of-the-art solutions that bring data to where we need it. Daily tasks include :

• Data pipeline design, data extraction, data quality assurance, data transformation and data pipeline automation.
• You will need to focus on enterprise grade delivery of data pipelines in a compliant way touching data privacy, data protection, anonymization, and compliant software development practices.