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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # SAP Datasphere Integration Engineer - **Company:** MATRIX - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Batch Processing, Cloud Computing, Cloud Database, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Systems, DevOps, Dimensional Modeling, Document-Oriented Databases, Python (Programming Language), Meta-Data Management, SAP ERP, Operational Data Store, Cloud Services, SAP (Applications), SAP NetWeaver Business Warehouse, SAP NetWeaver Data Management, SAP Project System, Scripting, Cloud Platform System, Snowflake, SAP Business Technology Platform, Change Data Capture, SAPBasis, Data Lineage, Star Schema, SAP S/4HANA, Integration Frameworks, Data Management, Database Replication, Api Design, Azure Synapse Analytics, Data Pipelines, Amazon Redshift, Databricks - **Published:** August 25, 2026 - **Apply:** https://www.comeet.com/jobs/matrix-ifs/19.00F/sap-datasphere-integration-engineer/7F.079 ## About the Role The ideal candidate possesses hands-on experience with SAP Datasphere and a strong background in cloud data warehousing, particularly Amazon Redshift. Experience with Matillion and SAP Business Technology Platform (BTP) services is highly desirable., * 4+ years of experience in data engineering, data integration, SAP analytics, or SAP data architecture roles. * Hands-on experience with SAP Datasphere (formerly SAP Data Warehouse Cloud), including:Space management * Data modeling * Connectivity and integration * Data replication and federation * Strong knowledge of SAP source systems, including:SAP S/4HANA * SAP ECC * SAP BW/BW4HANA * Experience with SAP data extraction technologies such as:ODP (Operational Data Provisioning) * SLT (SAP Landscape Transformation) * CDS Views * Proven experience with cloud data platforms, particularly Amazon Redshift. * Strong SQL development and data modeling skills, including dimensional modeling, star schema, snowflake schema, and data vault methodologies. * Solid understanding of data integration patterns, including:Batch processing * Real-time integration * Change Data Capture (CDC) * API-based integrations * Data federation * Experience with cloud infrastructure concepts related to storage, compute, networking, and security, preferably within AWS environments. * Excellent analytical, troubleshooting, and problem-solving capabilities. * Strong communication skills with the ability to collaborate effectively across technical and business teams. Preferred Qualifications * Hands-on experience with Matillion for ETL/ELT development and orchestration. * SAP certifications related to:SAP Datasphere * SAP BW/4HANA * SAP Business Technology Platform (BTP) * Experience with SAP BTP services and integration capabilities. * Familiarity with enterprise data governance, cataloging, and metadata management tools. * Experience in consulting, professional services, or client-facing environments. * Knowledge of Python, scripting, or automation frameworks used for data engineering workflows. * Experience implementing CI/CD practices and DevOps methodologies within data platform environments. * Exposure to additional cloud data platforms such as Snowflake, Databricks, or Azure Synapse Analytics. Success Factors * Delivering scalable, reliable, and secure data integration solutions across SAP and non-SAP ecosystems. * Enabling trusted analytics through high-quality data architecture and governance practices. * Optimizing data movement and platform performance while controlling operational costs. * Partnering effectively with stakeholders to drive successful delivery of enterprise data initiatives. * Contributing to continuous improvement through innovation, automation, and adoption of emerging SAP and cloud technologies. ## Description Be an Early Applicant Remote Hiring Remotely in United States Mid level Remote Hiring Remotely in United States Mid level Designs, develops, and supports integration pipelines connecting SAP and non-SAP systems with SAP Datasphere and cloud data platforms, primarily Amazon Redshift. Builds data models, replication flows, ETL/ELT processes, and CDC integrations; monitors performance and data quality; applies governance and security standards; documents architectures; and collaborates with technical and business stakeholders to deliver scalable analytics solutions. The summary above was generated by AI, We are seeking an experienced SAP Datasphere Integration Engineer to design, build, and support enterprise data integration solutions that connect SAP and non-SAP systems to modern cloud data platforms. This role combines SAP data architecture expertise with cloud-native data engineering capabilities to enable scalable, secure, and trusted analytics across the organization., * Design, develop, and maintain data integration pipelines between SAP source systems, including SAP S/4HANA, ECC, and BW/4HANA, and SAP Datasphere. * Build, optimize, and maintain SAP Datasphere data models, views, replication flows, spaces, and connections. * Architect and implement integration frameworks between SAP Datasphere and cloud data warehouses, primarily Amazon Redshift, ensuring scalability, performance, and reliability. * Develop and support ETL/ELT processes using Matillion or similar integration platforms to orchestrate data movement across SAP and non-SAP environments. * Implement and manage data replication strategies, including real-time, batch, and Change Data Capture (CDC) methodologies using SAP-native technologies such as SLT and ODP. * Partner with data architects, business analysts, and stakeholders to translate business requirements into scalable and maintainable data solutions. * Monitor, troubleshoot, and optimize data pipelines to improve performance, data quality, operational efficiency, and cost-effectiveness. * Define and enforce data governance, security, and access-control standards across SAP Datasphere and downstream data platforms. * Document data integration architectures, technical designs, data lineage, and operational procedures. * Stay current on SAP Datasphere enhancements, SAP BTP capabilities, and cloud data platform best practices. ## Related Videos - [Headless by Design: Building Enterprise Systems That Agents Can Actually Use](https://www.wearedevelopers.com/videos/100092-headless-by-design-building-enterprise-systems-that-agents-can-actually-use) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [#90DaysOfDevOps - The DevOps Learning Journey](https://www.wearedevelopers.com/videos/548-90daysofdevops-the-devops-learning-journey) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Best Companies to Work For in Berlin: Top 14 Companies in 2023 ](https://www.wearedevelopers.com/magazine/188-best-companies-to-work-for-in-berlin-top-14-companies-in-2023)