Innovate consulting is seeking Enterprise Data Warehouse / BI Engineer Build the data platform

that gives a complex manufacturing operation a single source of truth. A growing manufacturer

of complex hardware is hiring an Enterprise Data Warehouse / BI Engineer to build and scale its

enterprise data platform: the pipelines, models, and reporting that connect engineering,

manufacturing, supply chain, finance, quality, and test into a unified digital thread. Sitting at the

intersection of software engineering, manufacturing systems, and business intelligence, you will

turn fragmented operational data into trusted analytics that speed decisions, improve efficiency,

shorten build cycles, and support program execution.

Enterprise Data Platform Development Digital Thread & Systems Integration Data Warehousing

& Modeling Business Intelligence & Analytics Cross-Functional Partnership

Design, build, and scale the enterprise data warehouse and its ingestion frameworks

Develop ETL/ELT pipelines integrating ERP, MES, PLM, quality, test, supply chain, and HR

data Build REST/SOAP API integrations and automated sync across ERP, MES, PLM, and

financial systems

Define canonical enterprise entities and masterdata standards for a single source of truth

Design dimensional models, star schemas, fact tables, and semantic layers

Implement governance, lineage, auditability, and quality across critical business data

Deliver executive, operational, and manufacturing dashboards and standardized KPI reporting

Build self-service reporting; standardize enterprise metrics and business logic

Partner across manufacturing, supply chain, finance, quality, and test to turn needs into solutions

Drive automation that replaces manual, spreadsheet-driven reporting

4 to 8+ years in data engineering, data warehousing, BI, or enterprise analytics

Advanced Python and strong SQL; C# or Java a plus ETL/ELT development, pipeline

orchestration, and dimensional warehouse design Data quality monitoring, metadata

management, lineage, and governance Databases such as Snowflake, SQL Server, PostgreSQL,

Oracle, or Azure SQL BI platforms such as Power BI, Tableau, Looker, or Qlik; REST/SOAP

APIs (JSON/XML) Integrating ERP, MES, PLM, Salesforce, HR, and supply chain systems

Data governance frameworks and master data management Cloud data platforms and data lake

architectures Digital thread, Industry 4.0, and manufacturing analytics Production traceability

systems Background in advanced manufacturing or complex hardware