Data Engineer II

Tyson Foods, Inc.•Springdale, AR

1d•Onsite

About The Position

This position will be part of the team managing the Enterprise Asset Management business processes and supporting the Project Engineering, Reliability, and Maintenance environments for Tyson Foods. This position will primarily support the industrial asset lifecycle process from property acquisition through disposition including validation, analysis, and initial entry of project requisitions in SAP to acquire, construct, and commission capital spend. The position will manage all aspects of the industrial asset management process including unique identification of all machinery and equipment purchased from both a physical and financial perspective, structuring plant property to meet cost guidelines as required, assessment of loss on property due to project requirements as well as responsibility for assisting with any specific questions regarding the equipment and asset master records in the system.

Requirements

A Bachelor’s Degree in related field or equivalent work experience
A minimum of 2 years of relevant experience with data management in the manufacturing or construction industry
Proficiency in Microsoft Office and SAP S/4HANA (PM, PS, MM, FICO preferred with exposure to Fiori deployment).
Experience with data governance platforms such as Collibra (or equivalent), cloud/data engineering tools (SQL, Python, ETL/ELT, GCP or equivalent), and analytics platforms such as Power BI, Palantir, Tableau, or Analysis for Excel are expected.
Strong interpersonal and communication skills required including the ability to collaborate effectively with cross-functional partners and leaders.
Above-average verbal and written business communication skills are required.
Ability to coordinate with Plant-based management and Corp. support teams requiring good communication organizational and time management skills.
Must be self-driven and motivated and have a willingness to learn the ability to listen with a good phone presence.
Must work well under pressure, meet hard deadlines and require strong problem-solving abilities.
Must reside in the US to be considered, this role does not offer sponsorship.

Nice To Haves

Industry experience in manufacturing asset-heavy environments is preferred.
A commitment to learning new technologies and staying current with trends is essential.
Experience with documentation and technical writing a plus.
Preference will be given to local candidates within a 50-mile radius.

Responsibilities

Manages project and fixed asset financial aspects using SAP PM, PS, MM, and FICO modules as well as other systems of record.
Captures, structures, and records key data for acquisition events.
Identifies and processes transactions for events to maintain and operate as well as decommission in the system of record for a given location.
Manages and supports key relevant finance and accounting aspects for construction projects managed by engineering from conception to commission.
Analyzes and controls project cost events ensuring financial adherence to GAAP and SOX requirements.
Oversees project records and contracts to ensure terms are adhered.
Educates and supports non-finance managers in maintaining budget and cost requirements.
Develops and reports on key financial measurements related to construction, operating, and decommissioning activity.
Develops financial systems along with IT support to make processes more user friendly.
Participates in—and in some cases, leads—workshops and seminars to derive value from standardization and socialization of business processes.
Provides expertise for system configuration and integration decisions.
Conceptualizes solutions to business requirements and validates proposed solutions.
Reviews testing outcomes with cross-functional teams.
Applies best practices to data cleansing and data extraction for migration.
Trains team members in SAP with respect to modules including but not limited to PM, FICO, MM, and PS.
Provides result analytics for past and current property investment decisions leading to optimization in procurement, maintaining and operate approaches, and decommission strategy considerations going forward.
Supports onboarding and informally coaches Data Engineer I team members as needed.