Global bulk materials trader with compliance-heavy data modernization
International Materials LLC is a bulk commodities trader sourcing and shipping to over 80 countries, now building an enterprise data platform on Microsoft Fabric + OneLake + Azure. The tech stack and project list reveal a company wrestling with two distinct problems: operational friction in trade transaction entry and ERP alignment, and emerging compliance complexity (FCPA, AML, sanctions). The hiring mix (finance, legal, operations alongside one engineering role) and pain-point clustering around data governance and close efficiency signal an organization scaling compliance and reporting faster than their systems can keep pace.
International Materials LLC is an independent bulk raw materials trading firm founded in 1987, headquartered in Delray Beach, Florida, with 51–200 employees. The company serves cement, construction, and steel markets globally, sourcing and delivering cementitious and fuel products across 80+ countries. Operations span sourcing, chartering, logistics, and marketing. The business is now consolidating its data infrastructure—moving away from manual trade-transaction workflows and fragmented reporting toward a unified platform on Azure, with ETL pipelines and Power BI analytics. Hiring spans finance, legal, operations, and trading roles, concentrated at mid-level and senior seniority.
Core tools: Microsoft Fabric, OneLake, Azure Data Factory, Azure Synapse, Power BI, NetSuite, SQL, and Python. Also using Outlook, Word, Excel, PowerPoint, SharePoint for collaboration. Actively building ETL/ELT pipelines on Fabric and Data Factory.
Yes. One engineering role active in their hiring pipeline. Also hiring in finance (2), legal (1), operations (1), and trading (1). Open roles span United States, Colombia, and Spain.
Primary initiatives: enterprise data platform modernization on Microsoft Fabric; ETL/ELT pipeline automation; compliance infrastructure (FCPA, AML, sanctions, tariff, and trade-restriction oversight); shipping-claims resolution; and Power BI reporting and semantic layers.
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