Sr Data Engineer – SAP

Company Description

When it comes to being wild, we know a thing or two. We’re not afraid of trying something new or the hard work it takes to make it happen. It’s in our DNA. We’ve turned a family recipe into a new snacking category. And the wilderness into the world’s largest meat snack business, that’s still proudly family owned and operated.

We’re a company built by innovators, and are driven to not only satisfy your hunger, but to also feed your journey – whether that journey is on the road, on the run, at the campground, at the playground, in the office or in the moment. It’s a journey we share with you. It’s the journey forward of our people, of our communities, of our category…with a reverence for quality and an irreverence for the status quo.

At Jack Link’s Protein Snacks, we see every moment of every day as an opportunity to move forward, to forge new ground. To realize our vision of becoming the World’s #1 Protein Snack Company. We never give up. You never give up. Together, we keep going. Are you wild enough to join us?

Jack Link’s Protein Snacks is a global leader in snacking and the No. 1 meat snack manufacturer worldwide. Family-owned and operated with headquarters in Minong, Wisconsin, Jack Link’s Protein Snacks also has a large corporate hub in Downtown Minneapolis, Minnesota. The company is made up of over 4,000 passionate team members, across 11 countries, who share an uncompromising commitment to delivering awesome products and feeding the journey of those who move things forward. The Jack Link’s Protein Snacks portfolio of brands includes, Jack Link’s, Lorissa’s Kitchen, MATADOR Jerky, BiFi and Peperami.

Job Description

JOB SUMMARY

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.

KEY 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,