SAP - Sr Data Engineer - Datasphere at Jack Link's Protein Snacks

Minneapolis, Minnesota, United States -

Full Time

Start Date

Immediate

Expiry Date

30 Apr, 26

Salary

165000.0

Posted On

30 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, SAP Datasphere, SAP HANA, SQL, Analytical Modeling, Data Governance, Automation, AI Solutions, Data Integration, Communication, Collaboration, Mentoring, Business Acumen, Performance Optimization, Data Quality, Security

Industry

Manufacturing

Description

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 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, 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. WORK ENVIRONMENT The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The work environment is a plant/office setting with varying degrees of temperatures and noise levels. Exposure to manufacturing equipment movement and wet/slippery floors. However, the vast amount of work is conducted in a climate-controlled office. Travel may be required. PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job the employee is regularly required to sit, use hands to finger, handle, or feel and talk or hear. The employee is occasionally required to stand, walk and reach with hands and arms. The employee must occasionally lift and/or more up to 25 pounds. Specific vision abilities required by this job include close vision. Qualifications Required Qualifications: 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 Preferred Qualifications: 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. Additional Information The salary range for this role is $135,000 – $165,000(Annually). Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, and candidate skill set and experience. Base pay is just one component of Jack Link’s Total Rewards package for Team Members. Other rewards may include annual incentive and program-specific awards. 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. EQUAL EMPLOYMENT OPPORTUNITY EMPLOYER: Jack Link’s provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic that is protected by federal, state or local law. E-VERIFY: Jack Link’s is participant in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For information about the E-Verify program, please visit: http://www.uscis.gov/e-verify/employees All your information will be kept confidential according to EEO guidelines. Sub-Department: IT General Department: IT Compensation: USD135000 - USD165000 - yearly

Responsibilities

The role involves delivering high-quality data products for analytics and AI use cases, collaborating with stakeholders to translate requirements into technical specifications. Responsibilities include building data pipelines, designing data models, ensuring data quality, and developing automation solutions.