Consultant, Data & Digital Solutions Engineer

The Coca-Cola Company
Atlanta, GA, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Business Analytics Applications Microsoft Azure Cloud Database Information Systems Computer Programming Continuous Integration Information Engineering Data Warehousing Relational Databases DevOps Python (Programming Language)
+14 more
Power BI Software Engineering SQL Databases Systems Integration Web Applications Microsoft Power Automate AI Coding Agents Git Microsoft Fabric Pyspark Information Technology Data Analytics Data Pipelines Powerapps

Job description

We are looking for a hands-on Data and Digital Solution Engineer who can help with data engineering development and support operations. This role is part of The Coca-Cola Company’s TISC Services team, which delivers analytical products and solutions for the Technical Innovation & Supply Chain (TI&SC) function.

You will build data-centric solutions that provide actionable business insights and deepen analytic capabilities for the TI&SC function.You will also work cross functionally with technology and business teams to align on deliverables and ensure projects are delivered as agreed. You will participate in discussions including Cloud Data Architecture, Data Modeling, Dashboard Design and End to End Application Development.

What You’ll Do for Us

  • Build, deploy, and support scalable data pipelines, Lakehouse and Data Warehouse solutions, semantic models, and analytics products using Microsoft Fabric and Azure.
  • Maintain and enhance Power Apps, Power Automate, Power BI, web applications, and integrations while modernizing legacy solutions.
  • Provide production support, investigate incidents, perform root-cause analysis, and coordinate testing, releases, and deployments.
  • Apply enterprise CoE guardrails while developing solutions, maintain technical documentation, and identify opportunities for continuous improvement.
  • Leverage Codex or other agentic tools to improve delivery speed and quality.
  • Structure code, documentation, and architecture records for effective use by AI coding agents.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Analytics, or a related field.
  • Two or more years of experience in data engineering, analytics engineering, application development, business process automation, or a related discipline.
  • Hands-on experience with SQL, relational databases, data modeling, data warehousing, Microsoft Fabric, Power BI, and Azure services.
  • Strong understanding of Power Apps, Power Automate, Git, CI/CD, DevOps, and agile delivery practices.
  • Programming experience with Python, PySpark, or a comparable language.
  • Strong analytical, troubleshooting, communication, and stakeholder-management skills; supply chain or analytics domain knowledge is preferred.

What Success Looks Like

  • Hands-on, curious, adaptable, and customer-focused.
  • Comfortable working across data engineering, digital applications, analytics, and production support.
  • Able to manage competing priorities, solve problems independently, and deliver high-quality outcomes.
  • Effective at collaborating across technical and business teams and translating needs into practical solutions.
  • Committed to continuous learning and growth in Microsoft Fabric, Azure, Power Platform, web, and AI technologies.

About the company

  • Purpose Driven: Purpose-driven approach that empowers our people to protect the environment and communities we serve while delivering safe & quality products.
  • Global Connections: You can develop, enhance, and maintain global connections to move faster and learn from others.
  • Community of Belonging: We’re an organization that believes our ability to continually grow and build the right atmosphere where people feel safe and empowered lets you bring your best self to work.

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