Data Engineer -Kraft Heinz
Key responsibilities
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Contribute to the design, delivery and maintenance of appropriate data solutions to provide the correct data for analytical development to address key issues within the organisation.
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Gather detailed data requirements and collaborate with a cross-functional team to deliver high quality results (such as Tableau developers, analysts, business users).
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Work closely with peer data engineers on a regular basis, participating in code reviews and team-based delivery.
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Support the development and operation of modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.
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Contribute to shared frameworks for data ingestion, processing, and integrations where appropriate, growing toward independent framework work over time.
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Extend DevOps capabilities for deploying data solutions.
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Support creation and adoption of data assets for the organisation, putting data quality as the focus of all data solutions.
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Act as a data owner and functional data subject matter expert for the assigned area.
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Seek and act on feedback from senior engineers to accelerate growth and improve code quality.
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Ensure effective and timely delivery of project work, raising issues and risks in a timely manner to the project manager to ensure appropriate actions can be taken to mitigate.
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Develops familiarity with data design principles and architecture patterns, applying best practices under the guidance of senior engineers.
Qualifications & experience
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Bachelor's degree or higher in Computer Science, Statistics, Business, Information Technology, or related field
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5 to 8 years of experience in data engineering or a closely related technical role; recent graduates with strong project work considered
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Beginner exposure to cloud platforms (Azure, AWS, or GCP) — willingness to develop deeper cloud and DevOps skills on the job
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Foundational SQL proficiency — able to write and read queries with support; familiarity with tools such as dbt or Snowflake is a plus
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Beginner to intermediate Python — able to read and write pipeline code with support from senior engineers; JavaScript and R are a plus
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Experience building APIs is desirable; experience with GraphQL is a plus
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Awareness of DevOps and CI/CD concepts; hands-on experience is a plus but not required
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Familiarity with Agile methodologies
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Ability to manage own tasks and deadlines; strong communication skills
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Self-starter, driven with high business process acumen
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Team player with a positive attitude and ability to work across different business stakeholder and technical teams to accomplish complex tasks
