SAP Data Engineer
New Delhi, Delhi, India
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Permanent — employment source
Employment type Permanent - Full Time
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Tools in this posting
- AWS
- SQL
- Python
- Spark
- Redshift
- NoSQL
- SAP
- Airflow
- PySpark
Source — Tool mentions in context
Job location: Remote, India About the role: The Data Engineering team is seeking an experienced SAP Data Engineer to join our growing team and play a pivotal role in enabling data-driven decision-making across the organization. The successful candidate will bring deep expertise in SAP landscapes—including SAP ECC, S/4HANA, BW/4HANA, DataSphere, and SAP Data Services—and will be responsible for designing, building, and maintaining robust data pipelines that connect SAP systems with the broader enterprise data ecosystem. The SAP Data Engineer will assist with workloads outside of SAP and will be given the opportunity to grow and develop their general cloud skills on AWS. This role requires strong technical skills, a solid grasp of business process requirements, and the ability to translate complex SAP data structures into clean, actionable insights. What you will be expected to do
- Hands-on experience with SAP Data Services (BODS), SAP BW/4HANA, SAP S/4HANA data models, and SAP Landscape Transformation (SLT). - Solid command of Python and SQL for data transformation; experience with Spark and cloud-based compute (AWS EC2, Glue, or equivalent) is a strong plus. - Practical experience with PySpark Glue jobs, Lambda functions, NoSQL databases, job orchestration using Airflow, and/or managing Redshift or similar cloud data warehouses.
- Prior experience in energy, utilities, or emerging-market technology sectors. - Experience with AWS, Redshift, orchestrating Airflow DAGs What Sun King offers
- Solid command of Python and SQL for data transformation; experience with Spark and cloud-based compute (AWS EC2, Glue, or equivalent) is a strong plus. - Practical experience with PySpark Glue jobs, Lambda functions, NoSQL databases, job orchestration using Airflow, and/or managing Redshift or similar cloud data warehouses. - Familiarity with SAP ABAP for reading and interpreting custom extraction programs and table structures (development experience is a plus, not a requirement).
What you will be expected to do - Design and implement modern ETL/ELT architectures integrating SAP source systems (ECC, S/4HANA, BW/4HANA) with cloud-based data platforms. - Develop and maintain robust data pipelines to extract, transform, and load SAP data into enterprise data warehouses and data lakes for BI and reporting needs.
- Develop and maintain robust data pipelines to extract, transform, and load SAP data into enterprise data warehouses and data lakes for BI and reporting needs. - Build and manage integrations using SAP Data Services, SAP BW Extractors, ODP (Operational Data Provisioning), and RFC/BAPI connections. - Partner with SAP functional consultants and business stakeholders to grasp data structures, business logic, and transformation requirements.
- Administer and optimize SAP-connected databases and data stores to ensure high performance, availability, and data integrity. - Partner with the BI team to optimize reporting experience by aligning SAP data preprocessing, schema design, and dimensional data modeling. - Monitor and optimize data storage, processing, and pipeline costs across SAP and cloud environments, proactively recommending cost-effective improvements.
- Develop a robust alerting and data quality framework to detect, escalate, and resolve SAP data discrepancies efficiently. - Document data flows, SAP integration patterns, and pipeline architectures to maintain operational knowledge and assist team scalability. You might be a strong candidate if you have/are
- Bachelor's degree in Computer Science, Information Systems, or a related quantitative field; relevant professional experience may be considered in lieu of formal education. - 2–4 years of experience in a Data Engineering role, with at least 2 years of hands-on SAP integration experience. - Strong proficiency in SAP data extraction techniques: BW Extractors, ODP, CDS Views, RFCs, BAPIs, and IDocs.
- 2–4 years of experience in a Data Engineering role, with at least 2 years of hands-on SAP integration experience. - Strong proficiency in SAP data extraction techniques: BW Extractors, ODP, CDS Views, RFCs, BAPIs, and IDocs. - Hands-on experience with SAP Data Services (BODS), SAP BW/4HANA, SAP S/4HANA data models, and SAP Landscape Transformation (SLT).
- Strong proficiency in SAP data extraction techniques: BW Extractors, ODP, CDS Views, RFCs, BAPIs, and IDocs. - Hands-on experience with SAP Data Services (BODS), SAP BW/4HANA, SAP S/4HANA data models, and SAP Landscape Transformation (SLT). - Solid command of Python and SQL for data transformation; experience with Spark and cloud-based compute (AWS EC2, Glue, or equivalent) is a strong plus.
- Practical experience with PySpark Glue jobs, Lambda functions, NoSQL databases, job orchestration using Airflow, and/or managing Redshift or similar cloud data warehouses. - Familiarity with SAP ABAP for reading and interpreting custom extraction programs and table structures (development experience is a plus, not a requirement). - Detail-oriented with a keen interest in understanding how SAP business processes translate to data transformations and their downstream impact on business outcomes.
- Good to have: - Experience with SAP Integration Suite (formerly SAP Cloud Platform Integration/ CPI) or SAP Data Intelligence. - Exposure to SAP RISE or SAP BTP (Business Technology Platform) data services.
- Experience with SAP Integration Suite (formerly SAP Cloud Platform Integration/ CPI) or SAP Data Intelligence. - Exposure to SAP RISE or SAP BTP (Business Technology Platform) data services. - Certification in SAP Data Engineering, Finance, SAP BW, or related SAP modules.
- Exposure to SAP RISE or SAP BTP (Business Technology Platform) data services. - Certification in SAP Data Engineering, Finance, SAP BW, or related SAP modules. - Prior experience in energy, utilities, or emerging-market technology sectors.
Job description
Job location: Remote, India
About the role:
The Data Engineering team is seeking an experienced SAP Data Engineer to join our growing team and play a pivotal role in enabling data-driven decision-making across the organization. The successful candidate will bring deep expertise in SAP landscapes—including SAP ECC, S/4HANA, BW/4HANA, DataSphere, and SAP Data Services—and will be responsible for designing, building, and maintaining robust data pipelines that connect SAP systems with the broader enterprise data ecosystem. The SAP Data Engineer will assist with workloads outside of SAP and will be given the opportunity to grow and develop their general cloud skills on AWS. This role requires strong technical skills, a solid grasp of business process requirements, and the ability to translate complex SAP data structures into clean, actionable insights.
About the role:
The Data Engineering team is seeking an experienced SAP Data Engineer to join our growing team and play a pivotal role in enabling data-driven decision-making across the organization. The successful candidate will bring deep expertise in SAP landscapes—including SAP ECC, S/4HANA, BW/4HANA, DataSphere, and SAP Data Services—and will be responsible for designing, building, and maintaining robust data pipelines that connect SAP systems with the broader enterprise data ecosystem. The SAP Data Engineer will assist with workloads outside of SAP and will be given the opportunity to grow and develop their general cloud skills on AWS. This role requires strong technical skills, a solid grasp of business process requirements, and the ability to translate complex SAP data structures into clean, actionable insights.
What you will be expected to do
- Design and implement modern ETL/ELT architectures integrating SAP source systems (ECC, S/4HANA, BW/4HANA) with cloud-based data platforms.
- Develop and maintain robust data pipelines to extract, transform, and load SAP data into enterprise data warehouses and data lakes for BI and reporting needs.
- Build and manage integrations using SAP Data Services, SAP BW Extractors, ODP (Operational Data Provisioning), and RFC/BAPI connections.
- Partner with SAP functional consultants and business stakeholders to grasp data structures, business logic, and transformation requirements.
- Build data flows into SAP and SAP Analytics Cloud to enhance the data available to our FP&A team
- Administer and optimize SAP-connected databases and data stores to ensure high performance, availability, and data integrity.
- Partner with the BI team to optimize reporting experience by aligning SAP data preprocessing, schema design, and dimensional data modeling.
- Monitor and optimize data storage, processing, and pipeline costs across SAP and cloud environments, proactively recommending cost-effective improvements.
- Design and implement real-time and near-real-time data pipeline architectures (e.g., SAP SLT, SAP CDS Views, event-driven pipelines) for critical business workflows.
- Develop a robust alerting and data quality framework to detect, escalate, and resolve SAP data discrepancies efficiently.
- Document data flows, SAP integration patterns, and pipeline architectures to maintain operational knowledge and assist team scalability.
You might be a strong candidate if you have/are
- Bachelor's degree in Computer Science, Information Systems, or a related quantitative field; relevant professional experience may be considered in lieu of formal education.
- 2–4 years of experience in a Data Engineering role, with at least 2 years of hands-on SAP integration experience.
- Strong proficiency in SAP data extraction techniques: BW Extractors, ODP, CDS Views, RFCs, BAPIs, and IDocs.
- Hands-on experience with SAP Data Services (BODS), SAP BW/4HANA, SAP S/4HANA data models, and SAP Landscape Transformation (SLT).
- Solid command of Python and SQL for data transformation; experience with Spark and cloud-based compute (AWS EC2, Glue, or equivalent) is a strong plus.
- Practical experience with PySpark Glue jobs, Lambda functions, NoSQL databases, job orchestration using Airflow, and/or managing Redshift or similar cloud data warehouses.
- Familiarity with SAP ABAP for reading and interpreting custom extraction programs and table structures (development experience is a plus, not a requirement).
- Detail-oriented with a keen interest in understanding how SAP business processes translate to data transformations and their downstream impact on business outcomes.
- Excellent analytical, problem-solving, and time management skills with the ability to manage competing priorities in a fast-paced environment.
- Adaptable and collaborative team player who thrives in dynamic, cross-functional environments.
- Prior experience in project or team lead capacity is preferred; enthusiasm for knowledge-sharing and mentoring junior engineers is a strong plus.
- Good to have:
- Experience with SAP Integration Suite (formerly SAP Cloud Platform Integration/ CPI) or SAP Data Intelligence.
- Exposure to SAP RISE or SAP BTP (Business Technology Platform) data services.
- Certification in SAP Data Engineering, Finance, SAP BW, or related SAP modules.
- Prior experience in energy, utilities, or emerging-market technology sectors.
- Experience with AWS, Redshift, orchestrating Airflow DAGs
What Sun King offers
- Professional growth in a dynamic, rapidly expanding, high-social-impact industry
- An open-minded, collaborative culture made up of enthusiastic colleagues who are driven by the challenge of innovation towards profound impact on people and the planet.
- A truly multicultural experience: you will have the chance to work with and learn from people from different geographies, nationalities, and backgrounds.
- Structured, tailored learning and development programs that help you become a better leader, manager, and professional through the Sun King Center for Leadership.
Employment type
Permanent - Full Time
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- Pay
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- Location & working pattern
New Delhi, Delhi, India
Job location: Remote, India About the role: The Data Engineering team is seeking an experienced SAP Data Engineer to join our growing team and play a pivotal role in enabling data-driven decision-making across the organization. The successful candidate will bring deep expertise in SAP landscapes—including SAP ECC, S/4HANA, BW/4HANA, DataSphere, and SAP Data Services—and will be responsible for designing, building, and maintaining robust data pipelines that connect SAP systems with the broader enterprise data ecosystem. The SAP Data Engineer will assist with workloads outside of SAP and will be given the opportunity to grow and develop their general cloud skills on AWS. This role requires strong technical skills, a solid grasp of business process requirements, and the ability to translate complex SAP data structures into clean, actionable insights.
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- Status in our records
- Unknown — awaiting fresh evidence
- First seen by us
- Aug 31, 2026
- Recorded sightings
- 7
- Last seen by us
- Sep 10, 2026
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