Metyis is growing! We are looking for a SAP Senior BW ABAP Integration Specialist with +6 years of relevant experience for a full-time position to join the Technology team at our Digital Campus in Porto.
We are Metyis, a forward-thinking, global company that develops and delivers solutions around Big Data, Digital Commerce, Marketing and Design and provides Advisory services. We have offices in 15 locations with a talent pool of 1000+ employees and more than 50 nationalities, dedicated to creating long-lasting impact and growth for our business partners and clients.
Together with HUGO BOSS, our esteemed business partner, we have embarked on a joint venture and created the HUGO BOSS Digital Campus, dedicated to increasing the data analytics, eCommerce and technology capabilities of the company and boosting digital sales. The HUGO BOSS Digital Campus employees will help create a state-of-the-art data architecture infrastructure, advanced business analytics, and the development and enhancement of HUGO BOSS’ eCommerce platform and services.
This collaborative environment will provide the capabilities required for HUGO BOSS to maximise data usage and support its growth trajectory towards becoming the leading premium tech-driven fashion platform worldwide.
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Develop your professional career working with one of the major brands in the fashion industry
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Lead a fast-growing international and diverse team
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Driving to success a best in class E2E demand and supply planning initiative to improve the whole supply chain of the entire organization
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Working with a world leading software vendor and one of the most advanced integrated business planning platforms in the world
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Driving high-impact insights enhances decision-making across the entire organization
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Lead the analysis, migration, and modernization of SAP BW, SAP HANA, and ABAP solutions to cloud-based data platforms.
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Analyze SAP BW objects, ABAP programs, custom extractors, and integration components to identify migration dependencies and business logic.
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Design scalable, maintainable, and cloud-ready data processing solutions while ensuring data quality, reconciliation, and auditability.
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Develop technical migration specifications, source-to-target mappings, delta load strategies, and validation frameworks.
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Work with SAP integration technologies, including APIs, IDocs, RFCs, BAPIs, CDS Views, OData Services, and custom extractors.
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Collaborate with SAP, Data Engineering, BI, AI, and Cloud teams to deliver successful migration outcomes.
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Support migration testing, regression testing, parallel runs, production cutover, and post-go-live stabilization.
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Troubleshoot migration issues, data discrepancies, and performance bottlenecks while ensuring compliance with governance and security standards.
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Contribute to metadata management, data lineage, business glossary, and documentation to support AI-assisted migration initiatives.
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5+ years of hands-on experience with SAP BW (BW on HANA/BW/4HANA), SAP HANA, and ABAP development.
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Proven experience delivering SAP migration, modernization, or cloud transformation projects.
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Strong knowledge of SAP BW objects, ABAP programming, SAP extraction methods, and data integration technologies.
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Experience with SAP interfaces, including IDocs, RFCs, BAPIs, CDS Views, OData Services, and APIs.
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Strong SQL, data analysis, reconciliation, and performance optimization skills.
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Experience designing and validating end-to-end data migration solutions.
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Excellent analytical, problem-solving, and stakeholder communication skills.
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Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline.
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Experience with Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, or other cloud data platforms.
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Understanding of modern data architectures, including Data Lakes, Lakehouse, Medallion Architecture, and Semantic Layers.
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Experience with metadata management, data lineage, data governance, and catalog solutions.
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Familiarity with AI-assisted development, code generation, or migration accelerators.
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Experience working in Agile delivery environments.
