Our Digital Transformation
TheCoca-ColaCompany is evolving into a moredigital-first,data-drivenenterprise to fuel sustainable growth, increase speed to market, and unlock new sources of value. Rapid advances in technology, data, and AI create a unique opportunity to accelerate the KO system's next chapter of growth by reimagining our core competitive advantages. Building ona strong foundationof modernized infrastructure, global digital experiences, early data capabilities, and proven use cases, we are now shifting from early wins to scaled, end to end impact on growth, productivity, and efficiency.
This next phase moves us from an analog world to a fully digitized one, powered by a digital growth engine that embeds data, technology, and AI into our most critical business domains. Success willrequiremore than technology implementation, it demands a strategic transformation of core capabilities, a domain based, product centric operating model, and a cultural shift toward experimentation, data and technology fluency, and seamless partnership between business and digital teams.
Role Overview
The Director, Data Engineering plays a critical role in enablingCoca-Cola'sdigital transformation by designing and scaling modern,enterprise-gradedata platforms that power advanced analytics, artificial intelligence, anddata-drivendecision making. This role focuses on accelerating the shift from fragmented data ecosystems to a unified,high-quality, and accessible data foundation aligned to business domains.
This leader partners closely withcross-functionaldigital, technology, and business teams to deliver reliable, scalable, and secure data pipelines and platforms that supportend-to-enduse cases. The role requires balancingnear-termdelivery withlong-termplatform strategy while advancing modern engineering practices and embedding data and AI fluency across teams.
What You will do for us
Requirements
Architect, build, and scale modern data platforms and pipelines that enableenterprise-wideaccess tohigh-qualitydata for analytics, reporting, and AI use cases
Drive the design and implementation ofdomain-aligneddata products that support business capabilities and align with aproduct-centricoperating model
Partner with digital product, analytics, and AI teams to translate business needs into scalable data engineering solutions that deliver measurable value
Establish and enforce data engineering standards, including data quality, governance,security, and interoperability across systems and domains
Lead modernization of legacy data environments, enabling migration tocloud-basedarchitectures and improving speed, flexibility, and cost efficiency
Implement best practices in data architecture, includingreal-timeand batch processing, data modeling, metadata management, and observability
Enable AI and advanced analytics by ensuring data readiness, accessibility, and integration across enterprise platforms
Collaborate with global teams across Functions and Operating Units to align on shared data models, standards, and reusable capabilities
Build and mentor engineering teams, fostering a culture of continuous learning, innovation, and accountability
Monitor and optimize platform performance, scalability, and cost, ensuring alignment with business priorities and value realization
Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field
10+ years of experience in data engineering, data platform development, or related areas
Proven experience designing and scalingcloud-baseddata platforms and distributed data systems
Strong expertise in modern data technologies, including data lakes, data warehouses, and streaming platforms
Experience with cloud platforms and data ecosystems such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform
Demonstrated ability to design data models and pipelines that support AI, machine learning, and advanced analytics use cases
Experience implementing data governance, data quality frameworks, and security best practices at scale
Strong understanding of software engineering principles, including version control, continuous integration, and automated testing
Experience working inproduct-centric, agile delivery environments withcross-functionalteams
Ability to translate complex technical concepts into business value and influence stakeholders at multiple levels
Strong leadership and people development skills, with experience building and scalinghigh-performingtechnical teams
High level of digital and data fluency, with a growth mindset and commitment to continuous improvement
Location(s):
South Africa
City/Cities:
Johannesburg
Travel Required:
00% - 25%
Relocation Provided:
No
Job Posting End Date:
August 20, 2026
Our Purpose and Growth Culture:
We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what's possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.
Annual Incentive Reference Value Percentage:30
Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: coke
- Position Id: R-144527
- Posted 1 hour ago
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