.HAVI Supply Chain TechHub | Data Engineer | AzureYour new CompanyHAVI, a global leader since 1974, employs over 10,000 people and serves customers in more than 100 countries.
Specializing in the foodservice industry, HAVI provides innovative supply chain and logistics solutions, including analytics, planning, distribution, and freight management.HAVI's diverse teams collaborate seamlessly across locations and functions, embodying a spirit of integrity and creativity to serve their customers in the best way possible.Your new RoleThe Data Engineer, Azure will play a critical role in designing, implementing, and maintaining scalable data pipelines and architectures.
Your role will be crucial in enabling data-driven decision-making and optimizing data workflows within HAVI.As a Data Engineer, Azure you will be responsible for:Data Pipeline and Architecture Development:Design, implement, and maintain scalable data pipelines using Azure Data Factory, Databricks and other Azure services; Develop and optimize data architectures to support data processing and storage needs.Data Integration and Management:Integrate data from various sources, ensuring data quality and consistency; Manage and monitor data workflows, troubleshooting and resolving issues as they arise.Testing and Documentation:Participate in system testing, troubleshooting, and issue resolution; Create detailed technical documentation, including data architecture, requirements specifications, user guides, and training materials.Project Management:Participate in project planning and execution, including task estimation, resource allocation, progress tracking, and risk management; Inform the requestor of the cost and time estimate.Stakeholder Collaboration:Collaborate with stakeholders to gather and translate data requirements into functional and technical specifications; Engage with business users, IT teams and external stakeholders to address concerns, and ensure successful implementation of data solutions.Continuous Improvement:Stay updated on industry trends, emerging technologies, and best practices in data engineering and Azure services; Proactively identify opportunities to enhance data systems, streamline processes, and optimize business outcomes.What you will need to be succeedBachelor's degree (or equivalent experience) in Science and Technology; +5 years of experience in at least two IT solution development disciplines, including architecture and application design/development; Strong knowledge of Dataengineering concepts including Data Integration, Data Architecture, Data modelling; Experience with designing/building solutions with Cloud/On-Prem Technologies and DevOps toolchain implementation; Knowledge in Azure technologies (Data Factory, Databricks etc.
); Knowledge on Azure functions (Batch, Active Directory, Key Vault etc.
); Experience with DevOps tools (Azure DevOps services – preferred, JIRA, CI/CD etc