SAP Data Engineer

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for an SAP Data Engineer based in India.
Join a dynamic data engineering team focused on strengthening enterprise SAP capabilities and enabling seamless integration between business applications and modern cloud data platforms. In this role, you will combine hands-on SAP ABAP development with enterprise data engineering to build reliable, scalable solutions that support business operations and data-driven decision-making. You will collaborate with SAP functional consultants, data engineers, business stakeholders, and external partners to translate business requirements into effective technical solutions. A key part of your work will involve developing SAP customizations, optimizing data extraction processes, and supporting integrations through technologies such as CDS Views, OData, ODP, and SAP Datasphere. You will also help improve internal technical capabilities, troubleshoot complex SAP challenges, and reduce reliance on external service providers. This opportunity is well suited to an experienced SAP professional who enjoys solving technical problems, working across teams, and expanding their expertise in Python, SQL, and cloud-based data environments.
Accountabilities
SAP ABAP development: Develop, enhance, test, and maintain SAP solutions using ABAP, including custom reports, workflows, enhancements, and interfaces that support enterprise business processes.
Business requirements and solution design: Translate functional and business requirements into scalable technical solutions, with a particular focus on SAP Sales and Distribution (SD) processes and related workflows.
SAP data extraction and integration: Design, develop, and maintain reliable data extraction and integration pipelines using technologies such as Operational Data Provisioning (ODP), Core Data Services (CDS) Views, and OData.
SAP Datasphere and cloud data integration: Support the integration of SAP data into the broader enterprise data ecosystem, using SAP Datasphere as an endpoint or intermediary and helping connect SAP applications with cloud-based data platforms.
Cross-functional collaboration: Work closely with SAP functional consultants, data engineers, business stakeholders, and external SAP partners to clarify requirements, deliver technical solutions, and resolve complex implementation or integration issues.
Technical troubleshooting and ownership: Independently investigate SAP technical issues, identify root causes, implement solutions, and document findings to improve system reliability and knowledge sharing.
Internal capability development: Strengthen in-house SAP expertise, improve development and integration practices, and reduce dependency on external implementation and managed-service partners.
Data engineering development: Contribute to the evolution of SAP data workflows and integrations while building further expertise in SQL, Python, AWS, and modern data engineering technologies.
Continuous improvement: Identify opportunities to improve SAP data accessibility, integration reliability, technical documentation, and collaboration between application development and data engineering teams.
Requirements
A bachelor's degree in computer science, information systems, engineering, or a related discipline; equivalent professional experience will also be considered.
At least four years of hands-on SAP ABAP development experience, including the development and maintenance of SAP customizations in an enterprise environment.
Strong knowledge of ABAP programming, SAP development practices, and the principles of designing maintainable and reliable SAP solutions.
Good understanding of at least one SAP functional module, with practical experience in SAP Sales and Distribution (SD) strongly preferred.
Demonstrated ability to collaborate with SAP functional consultants and translate business requirements into effective technical designs and implementations.
Practical experience with SAP data extraction and integration technologies, including ODP, CDS Views, and OData.
Strong understanding of SAP ERP data structures, tables, relationships, and the way enterprise business data is organized.
Experience developing or supporting SAP interfaces and integrations with external applications or enterprise systems.
Exposure to SAP Datasphere or similar SAP data management and integration technologies is highly desirable.
Strong SQL skills and a solid understanding of data engineering concepts, including data movement, transformation, and pipeline reliability.
Experience with Python and/or cloud-based data platforms is an advantage.
Strong analytical, troubleshooting, and problem-solving skills, including the ability to investigate complex SAP issues independently and develop practical solutions.
Effective written and verbal communication skills, with the ability to work across technical teams, business stakeholders, and external partners.
A collaborative, proactive, and accountable approach, with the ability to manage technical responsibilities and contribute to building internal expertise.
Additional Experience That Would Be An Advantage
Experience with SAP S/4HANA RISE.
Familiarity with SAP BW/4HANA, SAP Data Services (BODS), or SAP Business Technology Platform (BTP).
Experience with SAP Integration Suite or Cloud Platform Integration (CPI).
Experience building data pipelines into cloud data warehouses or data lakes.
Familiarity with AWS, Amazon Redshift, Apache Airflow, Apache Spark, PySpark, or comparable data engineering technologies.
SAP ABAP or other relevant SAP certifications.
Experience working with external SAP implementation partners or managed-service providers.
Previous experience mentoring engineers or taking technical ownership of SAP projects.
Benefits
Fully remote work: Work remotely from India, with flexibility in where you carry out your responsibilities.
Permanent, full-time employment: An opportunity to build long-term expertise in SAP development, data integration, and enterprise data engineering.
Professional growth: Develop your technical capabilities in the SAP ecosystem while expanding your knowledge of modern data engineering and cloud technologies.
Structured learning and development: Access tailored learning opportunities designed to support professional, leadership, and management development.
Collaborative work environment: Join an open-minded team that values innovation, knowledge sharing, and collaborative problem-solving.
International exposure: Work with colleagues across different countries, nationalities, and professional backgrounds.
Purpose-driven impact: Contribute to technology and data capabilities that support the delivery of affordable, reliable energy access and positive social and environmental outcomes.
How Jobgether Works
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Work arrangement
Yes