Sr Data Engineer – SAP and AI Automation

Jack Link's Protein Snacks•Minneapolis, MN

1d•$135 - $165

About The Position

This role is responsible for delivering high-quality, governed, analytics-ready data products that support enterprise reporting, advanced analytics, and AI-driven use cases. Beyond traditional data engineering, this position requires strategic thinking and strong business acumen. You will collaborate with product owners and business stakeholders to understand operational and commercial processes, translate data and diagnostic requirements into technical specifications, and communicate complex technical concepts back to non-technical teams in clear, accessible language. This role is supported by a strong ecosystem of IT and Analytics experts, including product owners, business relationship managers, data engineers, data architects, BI developers, data scientists, and platform specialists. In addition to SAP data engineering, you will design, develop, and orchestrate AI-powered automation solutions to optimize workflows and processes within SAP environments. Your work will enable advanced analytics, intelligent automation, and seamless integration across enterprise systems.

Requirements

7+ years in Data Engineering or SAP Analytics Engineering.
3+ years of primary hands-on SAP Datasphere experience.
Strong expertise in Enterprise SAP HANA, SAP BW on HANA, SQL/SQLScript.
Deep understanding of SAP S/4HANA data models and CDS views.
Experience in analytical modeling, semantic layers, and governance.
Strong communication and product-oriented team collaboration skills.
Strategic Thinking & Business Acumen: Ability to understand general operations and commercial processes, work closely with product owners and business stakeholders to translate data and analytics requirements and diagnostic issues into clear technical specifications, and communicate technical concepts back to non-technical teams in an accessible way

Nice To Haves

Experience with SAP Datasphere as a strategic analytics platform.
Experience designing, developing, and deploying AI agents in SAP ecosystem.
Integration with SAP Analytics Cloud and enterprise BI platforms.
SAP BTP governance and security exposure.
Manufacturing, CPG, or supply chain industry experience.
CI/CD and Git-based transport automation experience.

Responsibilities

Build & Operate SAP Datasphere Data Pipelines
Design and manage enterprise data pipelines within SAP Datasphere.
Implement scalable ingestion using ODP, SLT, SDA/SDI, CDS extraction, APIs, and files.
Engineer reliable delta handling, orchestration, and reconciliation.
Design Enterprise HANA & Analytical Data Models
Build HANA-based analytical models and business-ready datasets.
Develop semantic layers aligned to Finance, Supply Chain, Manufacturing, and Sales.
Optimize models for SAC, Power BI, and downstream platforms.
Develop in SAP Datasphere & Enterprise HANA
Develop transformations using Datasphere flows, SQL, and SQLScript.
Manage Datasphere Spaces, compute allocation, access, and lifecycle.
Architect virtualization vs replication strategies.
Integrate SAP Source Systems
Integrate SAP S/4HANA and SAP BW on HANA datasets into Datasphere.
Leverage CDS Views, extractors, Open ODS Views, and BW InfoProviders.
Design hybrid SAP and non-SAP integration patterns.
Ensure Data Quality, Governance & Security
Implement validation, reconciliation, lineage, and metadata frameworks.
Enforce security, PII masking, and regulatory compliance.
Performance Optimization & Cost Management
Tune models, transformation logic, and analytical queries.
Monitor performance, storage, and compute efficiency.
Automate & Operationalize
Develop reusable automation frameworks using SQL, scripting, and SAP-specific tools to streamline data workflows and system integrations.
Design and implement SAP automation solutions leveraging SAP Joule and AI-powered orchestration to optimize business processes and reduce manual effort.
Integrate intelligent agents for predictive and prescriptive automation within SAP environments, enabling proactive issue resolution and process optimization.
Support CI/CD pipelines, version control, and operational monitoring to ensure reliability and scalability of automation solutions.
Enable Advanced Analytics & AI
Deliver analytics-ready feature-engineered datasets.
Partner with data science teams to support AI/ML pipelines.
Collaborate, Communicate & Mentor
Work closely with product owners and business stakeholders to translate business requirements and diagnostic issues into technical solutions, and communicate technical concepts back in clear, non-technical language.
Partner with SAP functional, architecture, and analytics teams.
Mentor junior engineers and promote best practices.
Perform additional duties as assigned.

Benefits

Jack Link’s provides a variety of benefits to eligible Team Members, including medical, dental and vision benefits, life and disability insurance, 401k participation, paid holidays, and paid time off.

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