Quick Answer
Before a KPI dashboard or a financial report can be trusted, the data behind it has to be collected, cleaned, and connected reliably, that's the Data Engineer's job. RAWN Technologies provides Data Engineer expertise to manufacturers who need shop-floor systems (MES, IoT sensors, PLCs), ERP data (Odoo, Openbravo), and quality/compliance systems talking to each other automatically, instead of being reconciled by hand every month.
What a Data Engineer Actually Does in a Manufacturing Context
- Connecting data sources: pulling production data from MES/PLC/IoT sensors, quality data from digital SOP/inspection systems, and transactional data from the ERP into one consistent data store
- Data pipeline automation: replacing manual spreadsheet exports with scheduled or real-time data flows
- Data modeling: structuring raw production, quality, and financial data so it's queried consistently across dashboards and reports
- Data quality and validation: catching missing, duplicate, or inconsistent records before they reach a KPI dashboard or ISO compliance report
- Infrastructure: setting up and maintaining databases, data warehouses, or data lakes for historical trend analysis
Why This Role Matters Before You Buy a Dashboard Tool
Many manufacturers buy a dashboard or BI tool expecting it to solve their reporting problems, only to find the dashboard is fast and pretty, but wrong, because the underlying data was never properly connected or cleaned. A Data Engineer prevents this: the dashboard, KPI targets, and financial report are only as reliable as the pipeline feeding them.
How RAWN Technologies Delivers This
- Integrating shop-floor and IoT data sources with Odoo or Openbravo
- Building the data pipelines that feed OEE, quality, and financial dashboards
- Establishing a single, validated data source so production, quality, and finance teams stop reconciling separate spreadsheets
- Ongoing pipeline maintenance as new data sources or reporting needs are added
Frequently Asked Questions
Do I need a Data Engineer if I already have an ERP system?
Often yes. An ERP holds transactional data, but shop-floor systems, IoT sensors, and quality tools usually live outside it. A Data Engineer connects these sources so ERP-based reports reflect what's happening on the floor in real time.
What's the difference between a Data Engineer and a Data Analyst?
A Data Engineer builds and maintains the pipelines and infrastructure that move and store data reliably. A Data Analyst then works with that clean data to produce insights, reports, and dashboards.
Can RAWN provide Data Engineer support on a project basis rather than full-time hire?
Yes, RAWN Technologies provides Data Engineer expertise as part of implementation and ongoing support engagements, scoped to your project's data integration needs.
Need shop-floor, ERP, and reporting data connected into one reliable pipeline? Contact RAWN Technologies about Data Engineer support.
Related on our site: See our AI Services page and our real-world example, Raspberry Pi AI + Odoo Integration, for how connected data pipelines power AI in practice.
Part of the Complete Guide to ERP Comparisons, Manufacturing Performance Systems & Data Roles.