SAP Software Solutions is seeking a Senior AI Data Engineer to join our Business Applications and Technology team. You will build and scale the technical foundations that power our AI innovations, developing high-quality, end-to-end data pipelines and engineering the high-value datasets essential for our foundation model research and engineering teams.
What You'll Do
- Contribute to the development of the SAP-RPT tabular foundation model family, shaping next-generation predictive capabilities for enterprise applications.
- Design, build, and operate scalable tooling and data pipelines to ingest, process, and curate tabular data at enterprise scale.
- Partner with stakeholders to identify, source, and define high-impact predictive tabular use cases across SAP products and scenarios.
- Extract, clean, validate, and enrich data with a strong focus on quality, consistency, and governance; prepare datasets for model training and benchmarking.
- Collaborate closely with domain experts and application development teams to interpret data, metadata, and development artifacts and translate them into ML-ready signals.
- Work hand-in-hand with data scientists and researchers, sharing data insights, constraints, and nuances to ensure models are effectively tailored to SAP enterprise data.
- Perform deep-dive data exploration to uncover patterns, edge cases, bias/leakage risks, and quality gaps that directly inform model development and evaluation.
- Influence data architecture decisions to enable reliable, secure, and efficient data access for both training pipelines and production deployments.
What We're Looking For
- PhD or Master’s degree in Computer Science, AI, or a related field, plus 5+ years of professional experience working with large-scale, high-performance data environments.
- Deep knowledge of SAP relational business data, including key business objects and underlying table structures. Strong ability to navigate and work with semantic models and a solid grasp of enterprise-grade business logic and complex relational schemas.
- Proven experience with high-performance SQL databases and SAP’s data stack, including building and operating cloud-native data pipelines. Strong Python skills.
- Solid foundation in machine learning with hands-on Python development experience applying AI to real-world problems—ideally in tabular / structured data settings.
Nice to Have
- Experience leading and supporting strategic data platform initiatives focused on scalable data enablement and value delivery within the SAP ecosystem.
- Strong proficiency in SAP S/4HANA, ABAP, and SAP GUI, with a solid understanding of SAP data structures and business domain fundamentals.
- Experience with Knowledge Graph technologies, metadata management systems, and/or ML-centric data models.
- 5+ years of experience building and operating Python-based ML/data pipelines, using technologies such as Databricks, Azure ML, Airflow, PySpark, Ray, and Azure Data Lake.
- Contribution to Data Science / Machine Learning projects focused on tabular data, from data preparation through model development and deployment.
Technical Stack
- SQL, Python
- SAP BDC, SAP HANA, SAP BTP
- Databricks, Azure ML, Airflow, PySpark, Ray, Azure Data Lake
- RDF, SPARQL, Knowledge Graphs
Team & Environment
The team's mission is to develop Foundation Models for structured data, starting with the launch and continued evolution of SAP-RPT-1.
Benefits & Compensation
- Salary range: 150,000 - 200,000 CAD
- Culture of inclusion, focus on health and well-being, and flexible working models
- Purpose-driven and future-focused environment with a highly collaborative team ethic and commitment to personal development
Work Mode
This is a hybrid role based in Canada.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
