SAP Data Engineer designing and maintaining data pipelines using SAP technologies for Körber Group. Collaborating with Data Architects and ensuring data governance and quality.
Responsibilities
Design, build, and maintain data pipelines using SAP technologies (SAP BW/4HANA, SAP Core Data Services, SAP Datasphere).
Collaborate with Data Architects, Analysts, and Business SMEs to translate requirements into technical solutions.
Optimize ETL/ELT processes for performance, reliability, and scalability.
Ensure data governance, quality, and compliance across SAP and integrated systems.
Evaluate emerging tools and technologies to enhance data architecture and automation.
Provide technical expertise during SAP transformation and modernization initiatives.
Maintain clear documentation and promote best practices in data engineering.
Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field.
Minimum 3 years of experience in SAP BW/4HANA, SAP HANA modeling, and/or SAP Datasphere development and implementation.
Proficiency in SQL, ETL/ELT design, and integration technologies (APIs, OData, CDS Views).
Familiarity with cloud platforms (Azure, AWS, or GCP) is a plus.
Knowledge of SAP Analytics Cloud (SAC) is a plus.
Strong understanding of data governance, metadata, and data security.
Skilled in data modeling (star schema, snowflake, dimensional models).
Excellent communication and problem-solving skills; fluent in English (German is a plus).
Proactive, collaborative, and comfortable working in an agile, international environment.
Benefits
Competitive compensation and annual performance-based bonus.
Private health and dental insurance plans.
Flexible working hours and hybrid/remote options.
Additional vacation days and comprehensive benefits package.
Learning and professional development opportunities.
A collaborative, innovative, and people-focused culture.
Team-building activities and a modern, engaging workplace.
Data Engineer II leading development and delivery of data pipelines for Syneos Health. Collaborating with teams to optimize data processing and integrate solutions into production environments.
Lead Data Engineer overseeing data operations and analytics engineering teams for OneOncology. Focused on operational excellence in data platform and model reliability for cancer care improvement.
Senior AWS Software Data Engineer at Boeing focusing on AWS Data services to support digital analytics capabilities. Collaborating with cross - functional teams to design, develop, and maintain software data solutions.
Senior Data Engineer designing and improving software for business capabilities at Barclays. Collaborating with teams to build a data and intelligence platform for Equity Derivatives.
Senior AI & Data Engineer developing and implementing AI solutions in collaboration with clients and teams. Working on projects involving generative AI, predictive analytics, and data mastery.
Consultant driving IA business growth in Deloitte's Artificial Intelligence & Data team. Delivering innovative solutions using data analytics and automation technologies.
Data Engineer responsible for managing data architecture and pipelines at Snappi, a neobank. Collaborating with teams to enable data processing and analysis in innovative banking solutions.
Data Engineer at Destinus developing the data platform to support production and analytics needs. Involves migrating Excel sources to Lakehouse and integrating ERP systems in a hybrid role.
Senior Data Engineer developing solutions within the Global Specialty portfolio at an insurance company. Engaging with diverse business partners to ensure high quality data reporting.
Data Engineer at UBDS Group focusing on designing and optimizing modern data platforms. Collaborating in a multidisciplinary team to develop reliable data assets for analytics and operational use cases.