Data Engineer II

GBS Analytics COE Data Engineer

About The Position

We have an excellent opportunity available for a Data Engineer to make a difference at Kraft Heinz. TheData Engineer role lies within the newly created Analytics Centre of Excellence within the Global BusinessServices organization. The Analytics COE has been set up to build, maintain and enhance analyticalproducts for our business to generate actionable insights from data and make better informed decisions.The individual for this position will be a technical expert providing leadership and expertise in the areasof data management, data quality, data governance, and data engineering. They will provide hands-ondesign, preparation, and development of data solutions for analytical products. They will work withinternal stakeholders to translate business problems into data requirements and then create the datasolutions to enable the development of analytical tools.Key Responsibilities

• Design, deliver and maintain the appropriate data solution to provide the correct data for
  

analytical development to address key issues within the organization.

• Gather detailed data requirements and collaborate with a cross-functional team to deliver high
  
  
  

quality results (such as Tableau developers, analysts, business users).

• Develop and operate modern data architecture approaches to meet key business objectives and
  
  
  

provide end-to-end data solutions.

• Contribute to generic frameworks for data ingestion, data processing, and data integrations per
  
  
  

business requirements.

• Extend DevOps capabilities for deploying data solutions.
• Supports creation and adoption of data assets for the organization, putting data quality as the
  
  
  

focus of all data solutions.

• Act as a data owner and functional data SME for the assigned area.
• Lead the coaching of all junior data engineering resources.
• Ensure effective and timely delivery of project work, raising issues and risks in a timely manner
  
  
  

to project manager to ensure appropriate actions can be taken to mitigate.

• Ensure effective and timely delivery of project work.
• Enforce best practices for data design, architecture, and implementation.
  
  
  

Qualifications & Experience

• Bachelor's Degree or higher in Computer Science, Statistics, Business, Information Technology, or
  

related field (Master's degree preferred)

• 5+ years of experience in delivering and supporting data engineering capabilities and building
  
  
  

enterprise data solutions and data assets

• Strong experience with cloud services within Azure, AWS, or GCP platforms (preferably Azure)
• Strong experience with analytical tools (preferably SQL, dbt, Snowflake, BigQuery, Tableau)
• Experience with design and software programming development (preferably Python, Javascript
  
  
  

and/or R)

• Experience building APIs (experience with GraphQL is a plus)
• Hands-on experience with DevOps and CI/CD processes
• Experience in Agile methodologies (certifications preferred)
• Project management experience and strong communication skills
• Self-Starter, driven with high business process acumen
• Team Player with a positive attitude and ability to work across different business stakeholder and
  
  
  

technical teams to accomplish complex tasks
Professional Attributes