Supply Chain Data Engineer

hace 3 semanas

Barcelona, Barcelona, España Sin Nombre A tiempo completo

Job Summary

Sin Nombre is seeking a highly skilled Supply Chain Data Engineer to manage data, engineer solutions, and develop low-code applications. As a key member of our Supply Chain team, you will be responsible for centralizing and structuring data from various sources, including vendors, factories, and distribution centers, into the Azure Data Lake.

Key Responsibilities

  • Lead efforts to centralize and structure data from various sources, including vendors, factories, and distribution centers, into the Azure Data Lake, ensuring data consistency, integrity, and accessibility.
  • Collaborate closely with cross-functional teams and external vendors to understand data requirements, business processes, and user needs, and translate them into effective low-code solutions that facilitate data collection and enhance decision-making.
  • Design and implement data models, schemas, and structures to organize and standardize data within the Azure Data Lake, enabling efficient data analysis, reporting, and visualization.
  • Utilize Microsoft Power Suite, including Power BI, Power Query, and Power Automate, to analyze data, create visualizations, automate workflows, and enhance data-driven insights across the organization.
  • Develop low-code applications and user-friendly interfaces to streamline the collection of key information from different business units and stakeholders, leveraging platforms such as Microsoft Power Apps, SharePoint, and other low-code development tools.
  • Provide training, documentation, and ongoing support to business users and stakeholders on using low-code applications and data management tools effectively, promoting adoption and maximizing the value of data-driven decision-making.

Requirements

  • At least 3+ years of experience in data management, analytics, and web development roles.
  • Bachelor's degree or higher in Computer Science, Data Science, Supply Chain Management, or a related field.
  • Proven expertise in SQL and Python for data analysis and development tasks, including ETL processes and data governance frameworks.
  • Strong understanding and experience with Microsoft Power Suite (Power BI, Power Query, Power Automate) for data analysis, visualization, and workflow automation.
  • Proficiency in extracting, transforming, and loading data into MS SQL data tables, and developing SQL queries and stored procedures for Power BI, with transferable skills in Databricks or Azure.
  • Additional supply chain and analytics education, training, and/or certification through MOOCs and/or professional organizations preferred.

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