oXya is an independent provider of cloud and managed services, specializing in SAP technical services and cloud solutions. We support midsize and global enterprises in increasing the efficiency, stability, and flexibility of their mission-critical IT systems. Our dedicated teams of experts operate as an extension of our clients’ IT organizations, delivering hands-on technical expertise and long-term partnership. As an independent advisor, we help clients select the most appropriate technical solutions for their business needs — and manage those solutions end-to-end.oXya runs SAP and related systems across a variety of environments, including private cloud, AWS, Microsoft Azure, and Google Cloud, ensuring secure, reliable, and high-performing operations.
About the Role:
As part of our continued growth, we are expanding our capabilities in SAP data modernization and multi-cloud integration. We are looking for an SAP Data Integration Engineer to design, build, and support reliable data integration solutions between SAP systems and modern cloud data platforms. This role sits at the intersection of SAP technology, enterprise data engineering, and cloud architecture. The successful candidate will help clients unlock SAP data for analytics, BI, AI/ML, reporting, and operational use cases while ensuring secure, scalable, and well-governed data flows.
KEY RESPONSIBILITIESSAP Data Integration:
Design, build, and operate data pipelines connecting SAP systems with cloud and enterprise data platforms.
Work with SAP integration and replication technologies such as SAP SLT, SAP Datasphere, SAP CPI / Integration Suite, SAP BTP connectivity services, and related SAP data tools.
Analyze SAP source systems, including ECC, S/4HANA, BW, ODP, CDS views, ABAP tables, and core business data structures.
Implement secure connectivity patterns using tools and approaches such as SAP Cloud Connector, Private Link, VPN, and cloud-native networking.
Monitor, troubleshoot, and optimize end-to-end data flows across SAP, cloud, and BI/analytics layers.
Enterprise Data Engineering:
Design, develop, and optimize data models and pipelines on modern cloud data platforms such as BigQuery, Snowflake, Azure Synapse, Amazon Redshift, or equivalent technologies.
Use modern data engineering tools and frameworks such as dbt, Dataform, Airflow, Azure Data Factory, AWS Glue, Fivetran, Kafka, or similar platforms where appropriate.
Apply best practices for performance, cost optimization, reliability, automation, and maintainability.
Support CI/CD and version control practices for data pipelines and integration artifacts.
PROJECT/CHANGE MANAGEMENTArchitecture, Governance, and Documentation:
Contribute to integration architecture across SAP and non-SAP systems, including batch, CDC, streaming, API-based, and event-driven integration patterns.
Define practical ingestion, transformation, and replication strategies aligned with client requirements and operational constraints.
Document technical designs, data flows, lineage, operational procedures, and support handover materials.
Promote sound data governance, data quality, security, and compliance practices when handling client data.
Delivery:
Support planning, technical decision-making, risk identification, and delivery execution in project-based and managed services environments.
Take ownership of technical topics from design through support, with attention to supportability and operational readiness.
COMMUNICATION/PRESENCEWork closely with SAP Basis, functional teams, cloud architects, BI teams, security teams, project managers, and client stakeholders, including distributed teams.
Operate effectively in client-facing environments, translating business requirements into practical technical solutions.
Serve as a trusted technical advisor to clients, helping stakeholders understand SAP data structures, integration options, governance considerations, and modernization roadmaps.
Actively contribute to pre-sales, solutioning, and client workshops by helping define integration architectures, estimate delivery effort, identify risks, and present technical recommendations to clients and prospects.
Support workshops, solution reviews, technical handovers, and knowledge-sharing sessions.
Mentor and guide team members on SAP data integration, cloud data engineering, and modern integration patterns, strengthening internal expertise and delivery consistency across projects.
REQUIRED SKILLS AND TECHNICAL EXPERIENCEHands-on experience with at least one SAP data integration or replication technology, such as SAP SLT, SAP Datasphere, SAP CPI / Integration Suite, SAP Data Intelligence, or equivalent SAP integration tooling.
Strong understanding of SAP source systems and data structures, especially ECC and/or S/4HANA.Strong SQL skills and practical experience with at least one modern cloud data platform, such as BigQuery, Snowflake, Azure Synapse, Amazon Redshift, or equivalent.
Experience designing, building, supporting, or troubleshooting data pipelines in enterprise environments.
Understanding of APIs, REST/SOAP services, event-based integration, message queues, or enterprise integration patterns.
Understanding of governance, security, lineage, and compliance considerations for enterprise data.
Ability to document technical solutions clearly and communicate effectively with both technical and business stakeholders.
Strong analytical mindset, problem-solving skills, ownership, and ability to work across multiple clients and priorities.
Curious, adaptable, and willing to learn across SAP, cloud, and data engineering technologies; structured and quality-focused, with strong attention to documentation.
PREFERRED QUALIFICATIONS2–3 years of hands-on experience with cloud data engineering or modern data platform delivery.
Experience with orchestration, transformation, or ingestion tools such as Airflow, dbt, Dataform, Azure Data Factory, AWS Glue, Fivetran, Kafka, or similar technologies.
Knowledge of Python for data transformation, automation, scripting, or pipeline support.
Experience with SAP BTP, SAP Cloud Connector, hybrid connectivity, private networking, or cloud security patterns.
Familiarity with ODP, CDS views, ABAP debugging, and SAP functional data areas such as FI/CO, MM, or SD.Experience in industries such as manufacturing, retail, financial services, or other SAP-intensive sectors.
Awareness of emerging SAP data modernization solutions, including SAP Business Data Cloud, SAP Datasphere evolution, and the SAP-Databricks partnership, with an interest in helping clients leverage these technologies for advanced analytics and AI initiatives.
SAP certification in SAP Datasphere, SAP Integration Suite, SAP BTP, or related SAP technology.
Cloud or data platform certification in GCP (Professional Data Engineer), Microsoft Azure (Azure Data Engineer Associate), AWS, Snowflake, Databricks, or equivalent.
EDUCATION/EXPERIENCE REQUIREMENTSBachelor’s degree in Computer Science, Information Systems, Engineering, Data Engineering, or a related field preferred. Equivalent professional experience in SAP, data integration, or cloud data engineering will also be considered.7+ years of experience in SAP technical, SAP integration, data integration, or enterprise data roles.
Proven experience delivering SAP-to-cloud or SAP-to-enterprise data integration solutions.
Practical experience supporting production-grade data pipelines, including monitoring, troubleshooting, and performance optimization.
Experience working in consulting, managed services, or complex multi-client enterprise environments is preferred.
Why Join UsWork on Mission-Critical SAP Environments: Gain hands-on experience with complex enterprise systems that support global business operations.
Bridge SAP and Modern Cloud Data Platforms: Help clients modernize how they access, move, govern, and use SAP data.
Collaborate with Experienced Experts: Work alongside skilled SAP, cloud, data, and infrastructure professionals who value knowledge sharing and continuous improvement.
Grow Your Career: Develop high-demand expertise across SAP integration, data engineering, cloud platforms, and enterprise architecture.
Shape Next-Generation SAP Data Platforms: Work with emerging technologies such as SAP Business Data Cloud, SAP Datasphere, cloud-native analytics platforms, and AI-ready data architectures.
All qualified applicants will receive consideration for employment without regard to race, color, religion, place of origin, ethnic origin, national origin, ancestry, age, sex, sexual orientation, gender identity, transgender status, genetic information, mental or physical disability, marital status, pregnancy, veteran status, or any other characteristic protected by applicable national, state, or local law.
