Responsible for leveraging your expertise in both data engineering and retail business to build and maintain a data infrastructure within Microsoft Azure. You will design and implement efficient data pipelines, ensuring seamless flow and analysis for informed decision-making.

What success looks like:

• Design, develop, and deploy data pipelines using Azure services like Azure Data Factory and Azure Databricks to ingest, transform, and load (ETL) supply chain data from diverse sources.
• Collaborate closely with stakeholders to understand their specific data needs and translate them into technically sound Azure-based solutions.
• Build and manage scalable data lakes and data warehouses on Azure (e.g., Azure Data Lake Storage, Azure Synapse Analytics) to facilitate efficient storage, retrieval, and analysis of supply chain data.
• Implement robust data quality checks and monitoring processes within Azure to ensure the accuracy and consistency of data used for business decisions.
• Develop and automate insightful reports and dashboards using Power BI to provide real-time visibility into key business performance metrics (e.g., forecast, inventory levels, lead times, transportation).
• Collaborate with data scientists and analysts to explore and analyze data stored in Azure to identify trends, opportunities for improvement, and potential risks.
• Stay up to date with the latest advancements in Azure data services and tools relevant to the supply chain domain.

What you bring to the role:

• Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent experience).
• 3+ years of experience as a Data Engineer or similar role, with at least 1 year focused on retail business.
• In-depth expertise in Microsoft Azure data services, including Azure Data Factory, Azure Databricks, Azure Data Lake Storage, and Azure Synapse Analytics.
• Strong proficiency in programming languages like Python and SQL (including experience with libraries relevant to data engineering and Azure development).
• Solid understanding of retail business principles and terminology.
• Proven experience in designing and implementing data quality checks and monitoring processes.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills.
• Microsoft Azure Data Engineer Associate certification (preferred, but not mandatory).
• Mid-high-level use of Microsoft Office software.
• 100% bilingual English-Spanish.

Type of Role: 6-months Contract

Language: Bilingual (Spanish and English) is essential.

Location: Panama; or LATAM (COL, MEX, VEN, ECU)

About Spice:

spice™ digitizes supply chains.  Our SaaS applications power Fortune 1000 supply chains by helping them transform into Digital Supply Chains.  We onboard their Trading Partners onto our cloud platform, which enables these enterprises to seamlessly exchange supply chain business data across disparate business applications and manage the perfect order through their network.  Our SaaS solutions include source-to-pay and order-to-cash collaboration with suppliers, dealers and logistics partners.