CD Excellence Data Engineering Associate

Role Overview

• Design, build, and maintain scalable data pipelines and solutions on Microsoft Azure or similar cloud platforms.
• Develop and optimize ETL/ELT workflows to support high-volume, high-velocity data ingestion.
• Implement robust data models and structures that support analytics, reporting, and machine learning workloads.
• Integrate new data sources—internal and external—into the enterprise data ecosystem to expand data availability and unlock new business insights.
• Partner with product, engineering, business and global teams to identify opportunities for new datasets and ensure seamless onboarding.
• Establish scalable frameworks for data discovery, cataloging, and lineage to support enterprise wide data growth.
• Automate data workflows, quality checks, and monitoring using Cloud native tools and Databricks capabilities.
• Collaborate with data scientists to operationalize AI models using Databricks, Azure Machine Learning, or similar platforms.
• Ensure data readiness, reliability, and accessibility to accelerate AI adoption and experimentation.
• Contribute to the development of an enterprise AI strategy by identifying data gaps, opportunities, and scalable patterns.
• Work closely with cross functional teams to translate business requirements into scalable data solutions.
• Provide technical guidance and best practices on Azure and Databricks to engineering and analytics teams.
• Participate in code reviews, architecture discussions, and continuous improvement initiatives.
• Assist in identifying & defining new systems functionality within the Go To Market technology stack.
• Improve processes/workflows within the Sales organization in regard to Sales applications and system support.
• User support
• troubleshooting, identifying problems and working with Local & Global IT to resolve technical issues and work with users to provide proper training.
• Assist in the analysis of underlying system issues arising from investigations into requirements and problems, and identify available solutions for consideration.

Requirements

• Technical aptitude and the ability to drive business value through focused technology solutions.
• Deep hands-on experience with cloud services such as Azure data services (e.g., Data Factory, Databricks, ADLS, Synapse, Azure SQL).
• Strong proficiency in building scalable ETL/ELT pipelines using Databricks (APIs, PySpark, Spark SQL, Delta Lake).
• Solid understanding of distributed computing, data lakehouse architecture, Unity Catalog and modern data engineering patterns.
• Ability to design and optimize data models that support analytics, reporting, and machine learning workloads.
• Strong SQL and Python skills, with the ability to write clean, efficient, production ready code.
• Proven ability to onboard new data sources, integrate APIs, and work with structured, semi-structured data.
• Experience designing frameworks for data ingestion, metadata management, and data lineage.
• Comfort working with large-scale datasets and evolving data ecosystems.
• Experience automating data workflows, quality checks, and monitoring using Azure-native tools.
• Familiarity with CI/CD practices for data engineering (e.g., GitHub Actions, Azure DevOps).
• Ability to build resilient, self-healing pipelines that minimize manual intervention.
• Strong focus on performance tuning, cost optimization, and operational reliability.
• Ability to build and maintain feature pipelines that support ML and AI initiatives.
• Experience collaborating with data scientists to operationalize models in Databricks or Azure ML.
• Understanding of how data quality, structure, and availability impact AI outcomes.
• Curiosity and initiative to identify new data opportunities that unlock AI use cases.
• Strong ability to turning data into insights and communicate actionable business narratives.
• Ability to quickly adapt new AI technologies around LLMs, MCPs, prompt engineering and advanced data modelling.
• Interest in developing a deep understanding of the Foodservice industry and its go to market use cases.
• Ability to lead and execute multiple projects simultaneously.
• Strong business partnering and communication skills.

Tech Stack

• Azure
• Cloud
• ETL
• PySpark
• Python
• Spark
• SQL
• Unity
• Go

Benefits

• Health insurance (including prescription drug, dental, and vision coverage)
• Retirement savings benefits
• Life insurance and disability benefits
• Parental leave
• Sick leave
• Paid vacation and holidays
• Access to numerous voluntary benefits