HelloFresh
DataEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer at HelloFresh. Skills: automation tools development, ML models deployment, data pipelines design and maintenance, web applications development, Serverless architecture, CI/CD tools. Develop and implement strategies for automation tools aligned with company objectives. Deploy and maintain ML models”
What You'll Achieve.
optimise business operations and decision-making; ensuring seamless data availability and operational efficiency across all company divisions
What They're Looking For.
Must Have
Bachelor’s degree in a quantitative discipline (Computer Science, Engineering, Statistics, or related), Proficiency in Javascript, HTML, CSS, Python, and SQL, experience with modern data platforms like Databricks and the AWS stack, Experience using Serverless architecture (AWS Lambda) and CI/CD tools (GitHub Actions, Jenkins)
Nice to Have
An interest in the deployment of production-grade ML models, Knowledge of hosting applications on Kubernetes and utilising LLMs for AI-based automation
What You'll Do.
Develop and implement strategies for automation tools aligned with company objectives
Deploy and maintain ML models
and maintain scalable data pipelines to support delivery and requirements
Translate complex business requirements into technical specifications for automation tools
Monitor and enhance the performance and user experience of existing automation tools
How You'll Work.
Team & Collaboration
Collaborate with business units to identify opportunities for process automation and digital tool development; Mentor colleagues on best practices for software development and data engineering integration
Communication Scope
explaining technical concepts to non-technical stakeholders
Process & Methodology
prioritise multiple concurrent projects
Full Job Description
Job Description As a Data Engineer, you will design and develop automation systems and deploy ML models that optimise business operations and decision-making. You will drive innovation through data and automation technologies, ensuring seamless data availability and operational efficiency across all company divisions. This role is based in Chippendale, Sydney and reports to the Principal Manager, Data Engineering. You will… Develop and implement strategies for automation tools aligned with company objectives. Deploy and maintain ML models Collaborate with business units to identify opportunities for process automation and digital tool development. Design, build, and maintain scalable data pipelines to support delivery and requirements. Translate complex business requirements into technical specifications for automation tools. Drive innovation by adopting modern frameworks, APIs, and development methodologies. Mentor colleagues on best practices for software development and data engineering integration. Monitor and enhance the performance and user experience of existing automation tools. You have… A Bachelor’s degree in a quantitative discipline (Computer Science, Engineering, Statistics, or related). An interest in the deployment of production-grade ML models Proven hands-on experience developing web applications using Javascript frameworks. Proficiency in Javascript, HTML, CSS, Python, and SQL. Strong experience with modern data platforms like Databricks and the AWS stack. Experience using Serverless architecture (AWS Lambda) and CI/CD tools (GitHub Actions, Jenkins). Knowledge of hosting applications on Kubernetes and utilising LLMs for AI-based automation. You are… A strong communicator capable of explaining technical concepts to non-technical stakeholders. A data-driven professional who follows coding best practices. Competent in stakeholder management with the ability to prioritise multiple concurrent projects. Passionate about driving a data-native culture and
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