Data Engineer

Data engineer has ownership of designing and developing large scale data solutions. You will have deep technical skills in a variety of technology to play an important role in developing and delivering proof of concepts and product implementation. You will help build the data foundation that powers decision-making for all our bottlers. In this role, you will design, build, and maintain the architecture that connects our diverse data sources—from production systems and supply chain networks to point-of-sale platforms and consumer insights—enabling stakeholders to access trusted, actionable intelligence.

Responsibilities

• Design and develop high performant data ingestion pipelines from multiple sources using Azure Databricks, Snowflake, Iceberg, Microsoft Fabric
• Working with event bases streaming technologies to ingest and process data
• Design and Implement Data Lakehouse
• Working with other members of the project team to support delivery of additional project components (API interfaces, Search)
• Evaluating the performance and applicability of multiple tools against customer requirements
• Working within an Agile delivery / DevOps methodology to deliver proof of concept and production implementation in iterative sprints.
• Work with contractors to deliver products and services for the bottlers
• Conduct Pilots with bottlers and measure value
• Transition successful pilots into commercial applications
• Ensure design and implementation of technologies that comply with security standards and application architecture principles (in alignment with platform architects and respective review boards) and that consider state of the art data and analytics concepts
• Review code/solutions developed by team prior to migration to production

What will you learn?

• Information on the IT world in Coca-Cola including Bottler businesses

Gaining insights through the different data sources flowing from the bottlers and external data

• You will be immersed in the business reasons for an application as much as the technical how to develop the application, for each POC/Application.

This is unique to CONA, as every team member can gain deep knowledge of the Bottlers needs and data that is used, and work through the full application lifecycle.

• Industry/FMCG trends and Benchmarks for new/emerging technologies incl. vendor roadmaps and strategic developments
• Bottler and CCNA business strategies

What makes you a good fit?

• Strong knowledge of data management principles
• Experience in building ETL pipelines
• Hands-on experience designing and delivering solutions using the Azure Cloud Environment. Also experience with:

PySpark

Python

Microsoft Fabric

Iceberg file format

Databricks Pipeline/Workflow

Databricks AI/BI tool

•       Experience working with structured and unstructured data

•       Experience in building pipelines for ML projects.

•       Experience working in DevOps environment Specifically Azure DevOps

•       4 years of relevant experience

•       Ability to balance high customer orientation and service attitude with business priorities

•       Analytic thinking, and problem-solving skills

•       High energy, with strong will and ambition to learn and work on new things

•       Outstanding proven verbal, written and interpersonal communication skills

•       Ability to adapt quickly to changing product scope and priorities (demand driven)

•       Proven ability to influence and collaborate effectively with cross-functional teams

•       Demonstrates noticeable commitment to foster and preserve a culture of diversity and inclusion by creating environments where people of diverse backgrounds are excited to bring all of who they are and do their best work

•       Constant role model of CONA’s culture: Integrity, Accountability, Passion, Collaboration, Innovation

•       Bachelor’s degree (or equivalent)

•       And you are able to provide evidence and examples of where you have demonstrated these skills in the past

What could be the career path following this role?

While you are the owner of your career, the below represent examples of logical career paths for a Data Engineer:

•       Senior Data Engineer

•       Lead Advanced analytics

•       Machine learning engineer

•       Development Lead – BI & Analytics  

•       Product Architect

•       Bottler or TCCC role

Work Environment: CONA follows a hybrid work model requiring a minimum of 3 days (60%) in the office per week to support collaboration and development. Tuesdays and Wednesdays are required in-office days, and teams align on a flexible third in-office day. Attendance is reported monthly, with business travel (e.g., bottler visits, workshops, conferences) counting toward in-office requirements. CONA values coming to the office with purpose while maintaining flexibility for remote work outside of required days. 

Our people are our most valuable asset.

 The collective sum of the individual differences, life experiences, knowledge, inventiveness, innovation, self-expression, unique capabilities, and talent that our employees invest in their work represents a significant part of not only our culture, but our reputation and company’s achievement as well. We are smart alone but together we are genius. We embrace and encourage our employees’ differences in age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other characteristics that make our employees unique.