SAP - Sr Data Engineer - Datasphere

At Link Snacks
, we show up hungry, roll up our sleeves, plaid or otherwise, and dive straight into the hard work. We don’t hide from challenges; we hunt them down. We push harder, move faster, and take the kinds of big swings that built this business in the North Woods of Wisconsin four decades ago.

We’re everyday people who deliver extraordinary results. Innovation, creativity, and urgency aren’t buzzwords, they’re expectations. And just like the real protein snacks we make across our global house of brands—Jack Link’s®, Lorissa’s Kitchen®, Golden Island®, BiFi®, Peperami® and KOOEE!® to name a few—there’s nothing artificial about us. What you see is exactly what you get: humble, gritty, passionate people who show up every day ready to not just be a participant in the meat snack industry that the Link Family created, but to move faster, innovate harder and keep raising the bar so high, the rest of the world needs a ladder just to see it.

Dominating this space across the world takes a team. A team that runs together, succeeds together, and celebrates together. A team that’s full of relentless energy and spirit that can only be fueled by one thing: a fist full of our delicious meat snacks.

Real Meat Protein. Real People. Real Results. THAT is Link Snacks.

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.

• 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.

• 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 transformations using Datasphere flows, SQL, and SQLScript.
• Manage Datasphere Spaces, compute allocation, access, and lifecycle.
• Architect virtualization vs replication strategies.

• Integrate SAP S/4
  
  HANA and SAP BW on HANA datasets into Datasphere.
• Leverage CDS Views, extractors, Open ODS Views, and BW Info Providers.
• Design hybrid SAP and non-SAP integration patterns.

• Implement validation, reconciliation, lineage, and metadata frameworks.
• Enforce security, PII masking, and regulatory compliance.

• Tune models, transformation logic, and analytical queries.
• Monitor performance, storage, and compute efficiency.

• 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…