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# SAP Data Integration Engineer

- **Company:** Oxya Corporation
- **Location:** Jersey City, NJ, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** SAP Cloud, Advanced Business Application Programming (ABAP), Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, BigQuery, Cloud Computing, Cloud Computing Security, Cloud Database, Cloud Engineering, Information Systems, Information Engineering, Data Infrastructure, Data Integration, Data Transformation, Data Structures, Database Queries, Software Debugging, Python (Programming Language), Performance Tuning, Queueing Systems, SAP (Applications), SAP Business Suiteing, SAP FI/CO, SAP NetWeaver Data Management, SAP Project System, SAP Sales and Distribution, Data Streaming, Enterprise Data Management, Scripting, Azure Data Factory, Snowflake, SOAPAPI, SAP Business Technology Platform, Information Technology, AWS Glue, SAP S/4HANA, Enterprise Integration, Apache Kafka, Data Management, Azure Synapse Analytics, Data Pipelines, Amazon Redshift, Databricks
- **Published:** October 8, 2026
- **Apply:** https://www.thejobnetwork.com/job/9bd57d04-5166-4f16-91db-99157d37c5bc/sap-data-integration-engineer

## About the Role

* Hands-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.
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 * Strong understanding of SAP source systems and data structures, especially ECC and/or S/4HANA.
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 * Strong SQL skills and practical experience with at least one modern cloud data platform, such as BigQuery, Snowflake, Azure Synapse, Amazon Redshift, or equivalent.
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 * Experience designing, building, supporting, or troubleshooting data pipelines in enterprise environments.
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 * Understanding of APIs, REST/SOAP services, event-based integration, message queues, or enterprise integration patterns.
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 * Understanding of governance, security, lineage, and compliance considerations for enterprise data.
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 * Ability to document technical solutions clearly and communicate effectively with both technical and business stakeholders.
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 * Strong analytical mindset, problem-solving skills, ownership, and ability to work across multiple clients and priorities.
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 * Curious, adaptable, and willing to learn across SAP, cloud, and data engineering technologies; structured and quality-focused, with strong attention to documentation.
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 * 2-3 years of hands-on experience with cloud data engineering or modern data platform delivery.
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 * Experience with orchestration, transformation, or ingestion tools such as Airflow, dbt, Dataform, Azure Data Factory, AWS Glue, Fivetran, Kafka, or similar technologies.
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 * Knowledge of Python for data transformation, automation, scripting, or pipeline support.
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 * Experience with SAP BTP, SAP Cloud Connector, hybrid connectivity, private networking, or cloud security patterns.
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 * Familiarity with ODP, CDS views, ABAP debugging, and SAP functional data areas such as FI/CO, MM, or SD.
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 * Experience in industries such as manufacturing, retail, financial services, or other SAP-intensive sectors.
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 * 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.
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 * SAP certification in SAP Datasphere, SAP Integration Suite, SAP BTP, or related SAP technology.
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 * Cloud or data platform certification in GCP (Professional Data Engineer), Microsoft Azure (Azure Data Engineer Associate), AWS, Snowflake, Databricks, or equivalent.
\n, * Bachelor'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.
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 * 7+ years of experience in SAP technical, SAP integration, data integration, or enterprise data roles.
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 * Proven experience delivering SAP-to-cloud or SAP-to-enterprise data integration solutions.
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 * Practical experience supporting production-grade data pipelines, including monitoring, troubleshooting, and performance optimization.
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 * Experience working in consulting, managed services, or complex multi-client enterprise environments is preferred.
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## Description

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.