Cloud Data Engineer with S/4HANA experience (f/m/d)

About The Company We believe in the positive power of energy – and in people who are ready to shape the future with their ideas and dedication. That's why we established the EnBW Tech Hub in Portugal to drive innovation and develop digital solutions that support the energy transition and improve the way we work. As a key pillar of EnBW's technological transformation, the Tech Hub plays a vital role in our journey. EnBW is one of the largest energy companies, headquartered in Karlsruhe, Germany, employing approximately 30,000 people. ENBW IT SOLUTIONS, UNIPESSOAL LDA, a wholly owned subsidiary of EnBW, operates as an integral part of EnBW's IT division. In Lisbon, we bring together experts in IT, administration, project management and HR to collaborate in an agile, international environment and create smart, scalable solutions. Our Benefits Private supplementary health insurance including coverage for your immediate family, offering peace of mind beyond the public system. Meal allowance to support your daily work routines. Additional paid days off (24 December & Carnival Day) on top of statutory annual leave - giving you more time for what matters. Hybrid working model with a mix of remote and office days to support flexibility and modern ways of working. Intercultural collaboration & cross border projects - grow your international experience by working with colleagues in Germany. Modern technology and continuous development opportunities to support your growth and keep you up to date in your field. Bright, appealing offices in a trendy Lisbon area, designed for productive and enjoyable workdays. Your tasks Design, develop and maintain data models on the BIANCA analytics platform (Microsoft Azure Services) Analyze business requirements and translate them into technical specifications Implement business logic in data objects and ETL pipelines (SQL, PySpark) Design and orchestrate ETL pipelines and data loads Integrate and onboard new data sources Perform business, data and data model analysis in SAP source systems (S/4HANA and BW/4HANA), e.g. reading table structures and views Perform testing across all stages (component, system, integration, acceptance) Support deployments to test and production environments and provide early life support Your profile Proven experience as a Data Engineer in cloud-based analytics environments Strong hands‐on experience with Azure Databricks and Lakehouse architectures Experience with data modeling, ETL design and data integration Experience with SAP source systems (S/4HANA and BW/4HANA) Knowledge analysing SAP code, transactions and functions Classic SAP tools and transactions Basic knowledge in S/4HANA features (CDS views and ABAP in Eclipse) Ability to work independently on clearly defined user stories and deliverables Experience working in agile or hybrid delivery models within international delivery setups Experience in large-scale enterprise data platforms Familiarity with governance, security and authorization concepts About The Department You will be working within the Data & Analytics unit of Netze BW, part of the EnBW Group, one of Germany's largest energy infrastructure companies. The department is responsible for designing, developing and operating the enterprise analytics platform BIANCA, which is built on Microsoft Azure and serves as the central foundation for data-driven use cases across the organization. The team is organized according to a domain-oriented model. Each domain represents a clearly defined business area and works closely with its corresponding business units. As a Data Engineer, you will be assigned to one or more data domains and work as part of a cross‐functional team to design and implement end‐to‐end data engineering solutions. Your work will focus on hands‐on data engineering tasks such as data modeling, data integration, and the development of scalable and reliable ETL pipelines using Azure Databricks, Azure Data Factory and Azure DevOps. Within your domain, you will translate business requirements and user stories into high‐quality technical implementations that directly support the needs of the respective functional departments. Equal Opportunity Employer Everyone is embraced here, irrespective of gender, age, sexual orientation, heritage, faith, beliefs, or physical ability. Our information on data protection for applicants (f/m/d). #J-18808-Ljbffr