Business Operations & Data Specialist (Production & Quality)
Destinusgroup Hengelo, NetherlandsEst. Est. EUR 50,000–65,000 / yearMid
Estimated range based on role, country and industry — not published by the company.
Key requirements
- Sql
- Power Bi
- Excel
- Erp
About the role
Behind every well-run plant is a shared understanding of how it is performing — and that understanding has to be built. As a Business Operations & Data Specialist focused on Production & Quality at Destinus, you are the bridge between the people who run our plants and the data that describes them. Plant managers, production leads, and quality engineers own the processes; our lakehouse holds the data those processes create. Your job is to connect the two, so that every production and quality figure, from the shopfloor to the leadership team, is defined by the business, built on the lakehouse, and trusted by both.
This is as much an operations role as a reporting one. You will translate what the business needs to know into what the data platform has to deliver, working with our Data Engineers on the production and quality data in the lakehouse and turning it into the reporting used across three European plants, including our Digital Shopfloor Management Solution, relied on by more than 300 people. You will also go to where the data is created and make it better there — improving how it is captured, automating what is still manual, and helping three plants work to one standard.
At Destinus, we are redefining the future of aerospace manufacturing — bringing speed, precision, and innovation to every process that powers our advanced Unmanned Aerial Vehicles (UAVs). Our operations span multiple plants and teams, and your work will directly support the reliability, efficiency, and excellence required for mission-critical production. Join us in shaping the next era of aerospace operations.
What You'll do
Be the go-to contact between the business owners of production and quality data — plant managers, production leads, and quality engineers — and our lakehouse: turn their questions into clear data requirements, and the data back into answers they can act on.
Own the production and quality portfolio end to end: define the KPI, improve the process behind it, build the dashboard, and stand behind the number.
Own the production and quality domain in our lakehouse: know which tables and fields hold what, where each comes from, and who owns it at source — and keep that knowledge documented rather than in your head.
Partner with our Data Engineers on the curated (gold) layer for production and quality: specify the tables, fields, and business rules the business needs, and validate the result against what actually happens on the shopfloor before anyone relies on it.
Set and monitor data quality checks for your domain, and route each issue to the right owner — the person entering the data, the system configuration, or the pipeline — until it is fixed.
Maintain and continuously improve Power BI dashboards tracking production and quality performance across all three plants, built on certified lakehouse data rather than side spreadsheets.
Describe production and quality data in plain business language — what each field means, who owns it, and how sensitive it is — for our shared meanings layer, so that colleagues and our AI assistants can use it correctly without having to ask you first.
Automate what is manual today: recurring reports, data collection, and the preparation behind daily and weekly performance routines.
Support the standardisation of ways of working across the three plants, partnering with our Lean Operations Specialist so that measurement and improvement pull in the same direction.
Requirements
What You’ll Need
Bachelor's or Master's degree in Industrial Engineering, Manufacturing, Operations, Quality Management, or a related field.
Experience in a production or quality environment; aerospace or another regulated industry is highly preferred.
Solid understanding of manufacturing and quality metrics — throughput, cycle time, OEE, scrap and rework, first-pass yield — and of quality processes such as non-conformance handling, customer complaints and field returns, root cause analysis, and corrective
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