Title: Senior Data Engineer Location: - Wyoming, Michigan - Atlanta, Georgia time type Full time Job Description: Welcome to Gordon Food Service! We are excited that you are thinking about opportunities with us, and we have an amazing story to share. See below for a quick glance of who we are and the impact you could have on the food service industry. There's a seat at our table for you... Position Summary: The Senior Data Engineer guides the development of GFS' Data Platform consisting of the data lake, analytics, enterprise data sandboxes, and certified internal data products. Identifies and translates Big Data challenges into technical approaches yielding actionable recommendations across multiple, diverse domains. Helps define the team's technical design principles and has the tenacity to implement them. Guides the Data Engineering team in their collaboration with teams across IT as well as the organization. Contributes to the design and architecture of Data Engineering technical solutions in an agile and incremental manner. Empathizes with the challenges the business faces and helps develop a technical solution to address them. Is a leader in refining and following team processes to increase efficiency and capacity. Has extremely strong personal skills to develop relationships with and become a mentor to more junior developers. What you will do: - Provide expertise and guidance in defining the technical strategy and direction for the Data Platform environment at GFS, including tools, techniques, and processes. - Provide guidance to the scrum master and product owner to determine priority and effort for features. - Mentor to other team members in the appropriate use and application of new and existing tools and processes. - Design and build technology solutions across multiple initiatives at the same time. - Automate repetitive data engineering tasks and build proactive monitoring and alerting systems. - Collaborate with others inside and outside of IT to rapidly architect, design, prototype, and implement technical architectures to deliver insightful solutions. - Translate business analytics problems into technical solutions that yield actionable recommendations across multiple, diverse domains. - Document technical designs and systems thoroughly to ensure long-term sustainability and ease of knowledge transfer within the team - Help build a high-performing team focused on results and relationships within and outside of the team. - Perform other duties as assigned. When you will work: - Monday to Friday, 8am to 5pm - Hybrid schedule, 4 days in office in Wyoming MI or Atlanta GA, with 1 day remote What you will bring to the table: - Bachelor's degree in Computer Science, Information Technology, Advanced Analytics, Statistics, or related field required. - At least 8 years of experience in technical design, development, and delivery of data engineering technical solutions. - Highly experienced with cloud computing platforms, preferably Google Cloud Platform (GCP). - Deep experience with Change Data Capture (CDC) processes (Qlik Replicate preferred) and relational database management/optimization (specifically PostgreSQL and SQL Server). - Highly experienced in modern data movement technologies (e.g. serverless, real-time, as needed computing, low latency data movement, high volume data management, etc...). - Proven track record as a self-starter and quick learner with strong documentation skills, capable of taking ownership of existing systems. - Expert in modern devops practices to deliver code quickly with a high degree of confidence and quality - Business Influence - Ability to present and explain technical and complicated information in an easy to understand format, both verbally and in writing. - Highly experienced in understanding and developing complex data models - Knowledge of data governance, expectations and leading practices - Business Judgement: High degree of ingenuity, creativity, and innovation to solve unique and complex business challenges; evaluate alternative solutions, considering costs and benefits. - Preferred languages include but are not limited to Python, Terraform, SQL and Java. - Preferred tool experience include but not limited to Apache Airflow, Kafka, Qlik Replicate, PostgreSQL, SQL Server, Solarwinds DPA. - Experience working with the SAP data model. - Experience working with artificial intelligence / machine learning platforms and practices. BE PART OF AN AMAZING CULTURE WHERE WHAT MATTERS TO YOU, MATTERS TO US! Gordon Food Service values our customers and understands that their success is largely dependent upon their workforce. To demonstrate our commitment to our partnership, we will require any candidate who works for a Gordon Food Service customer to provide a letter of support from their management if they are selected for the interview process. Equal Employment Opportunity is a matter of policy at Gordon Food Service, Inc. and we are committed to a work environment in which all individuals are treated with respect and dignity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a protected veteran, or status as a qualified individual with disability. If you require reasonable accommodation for any part of the application or hiring process due to a disability, please submit your request and use the words "Accommodation Request" in your subject line. All Gordon Food Service locations are tobacco-free. Gordon Food Service is a drug-free workplace and conducts pre-employment drug tests.

• Lead and execute SAP Data Migration activities for enterprise transformation projects. • Work extensively on Material Master, Purchase Orders, Outline Agreements, BOM, Routing, and Contracts data objects. • Perform data extraction, cleansing, mapping, validation, and reconciliation activities. • Collaborate with business users, functional consultants, and technical teams to define migration requirements and data standards. • Support migration strategy, mock loads, cutover planning, and go-live activities. • Ensure data quality, governance, and compliance throughout the migration lifecycle. • Conduct functional validations and support issue resolution during testing and deployment phases. • Coordinate with cross-functional teams including procurement, manufacturing, supply chain, and master data management teams. • Create migration documentation, mapping sheets, SOPs, and status reports. • Mentor junior team members and support knowledge-sharing initiatives.

Role Description The Finance Data Leader is accountable for driving value and impact through the effective deployment of the Global Finance Data Strategy within UK&I. This should encompass data accuracy, governance, security, and usability across local & global Finance systems and processes. The role is an enabler to major Finance transformation programmes including Horizon, and driving required adoption will be crucial, with consideration also given to other locally developed analytics required to complement Global Standard Reporting within SE Intel. These platforms must drive compliant business processes, and effective data driven decision-making. Working closely with Finance, Data Office, and Digital teams, the Finance Data Leader will own key Finance related data domains, support governance activities, and ensure business alignment to data standards and policies. The position involves a significant amount of Business Transformation, which also includes being the Unify Finance Data Stream Leader. Taking a leading position in the Rebate transformation program, including the Vistex tool deployment and other related initiatives will also be required. An expected amount of operational input will be necessary to ensure process optimisation, issue management, and continuous improvement around Finance Data awareness and associated data quality. What will you do: - Deploy Finance Data Strategy: Lead delivery of the global Finance Data Strategy across UK&I and drive adoption of standardised data and reporting. - Own Finance Data Domains: Manage key Finance data (e.g. cost centres, profit centres, GL hierarchy) ensuring accuracy, consistency, and alignment to global standards. - Drive Data Quality: Improve data quality through KPIs, dashboards, and root-cause resolution. - Lead Transformation: Drive Finance data readiness for key programmes (Horizon, Unify, Vistex) and ensure successful adoption. - Ensure Governance & Compliance: Apply data governance, security standards, and maintain clear documentation. - Enhance & Simplify Processes: Optimise Finance data processes, reduce manual effort, and partner with Digital on automation and improvements. Qualifications - Experience in Finance or Pricing - Strong understanding of SAP and data governance - Excellent stakeholder management skills - Strong ownership of data quality and governance - Collaborative and influential across diverse teams - Proactive analytical problem solver - Clear communicator with ability to simplify complexity Requirements - Experience with Schneider Electric systems and frameworks - Exposure to digital transformation or automation Benefits - Opportunity to shape and influence enterprise-wide data quality standards - Strategic role at the intersection of technology and business operations - Autonomy to drive meaningful improvements in organizational data management - Professional growth through exposure to diverse business processes - Collaborative environment fostering innovation and excellence

• As CUJU’s first Senior Data Engineer, you will build the data foundation of the company. • Your mission is to transform fragmented data across multiple systems into a reliable, scalable, and usable data layer that enables: Clear business metrics (e.g. MAU, retention) • Product decision-making • Future player performance insights • Define and implement core data models (users, events, performance) • Design and operate robust, production-grade data pipelines • Establish a single source of truth for key business and product metrics • Structure data for business and product analysis (retention, funnels, activation) • Build and deploy data services and jobs on AWS (e.g. S3, Lambda, ECS/EKS, Glue, Athena, Redshift, etc.). • Make pragmatic decisions on how data is stored, processed, and accessed • Evaluate and introduce tools (e.g. BigQuery, Snowflake, Databricks) where they add clear value • Ensure the architecture scales with product, AI, and data growth without overengineering • Optimize pipelines for scalability, cost efficiency, and performance. • Write clean, maintainable, and well-structured Python code following software engineering best practices. • Work closely with Product, Engineering, AI, and Business teams.