Manufacturing Data Engineer – Pipelines & Dashboards

Destinus; Hengelo; On-site; EUR 65,000 - 110,000; Full time

Job summary

Destinus is seeking a hands-on Data Engineer to turn raw shop-floor data into reliable pipelines, clean datasets, and dashboards used across Production, Test Operations, and Engineering. You will work on test logs, DAQ and ECU data, quality records, and shipment data to empower faster, data-driven decisions on the production floor.

The role is close to manufacturing operations in Hengelo, requiring collaboration with Data & Validation Engineering and Industrialization to modernize the data

Qualifications

• Bachelor's or Master's degree in data-related field as listed.
• Strong experience building and maintaining data pipelines in manufacturing/test environments.
• Proficiency in Python and SQL with pandas for data cleaning and transformation.
• Experience building dashboards or reporting tools (Power BI/HTML) for non-technical stakeholders.
• Understanding of test/measurement data (DAQ logs, sensor data, calibration records) is a plus.
• Ability to reconcile real-world data from multiple systems into a single source of truth.
• Excellent written and spoken English; Dutch is a plus.

Responsibilities

• Design, build, and maintain data pipelines that collect and consolidate test, calibration, quality, and shipment data from production and test operations
• Extract and structure data from test logs, DAQ systems, and ECU outputs into clean, analysis-ready datasets
• Build and maintain dashboards and reporting tools that give Production, Test Operations, and Engineering visibility into yield, failure trends, and product performance
• Support root cause analysis and supplier comparison work by preparing and validating datasets used across engineering and quality investigations
• Ensure data quality, consistency, and traceability across systems, flagging gaps or anomalies before they propagate into analysis or reporting
• Work with Test Operations, RCA, and Quality teams to understand their data needs and translate them into scalable data solutions
• Automate recurring data extraction, cleaning, and reporting tasks currently done manually, using Python and scripting tools
• Maintain and evolve the data infrastructure supporting engine lifecycle tracking, batch consistency analysis, and failure reporting
• Document data sources, definitions, and pipeline logic so datasets remain understandable and usable across teams
• Collaborate closely with Production, Test Operations, Data & Validation Engineering, and Industrialization to keep production data flowing and actionable

Skills

Python

SQL

Data pipelines

Pandas

Dashboarding

English proficiency

Education

Bachelor's or Master's degree in Data Engineering, Computer Science, Electrical Engineering, Industrial Engineering, or related technical field

Tools

Power BI

HTML

Job description

Destinus is seeking a hands-on Data Engineer to turn raw shop-floor data into reliable pipelines, clean datasets, and dashboards used across Production, Test Operations, and Engineering. You will work on test logs, DAQ and ECU data, quality records, and shipment data to empower faster, data-driven decisions on the production floor.

The role is close to manufacturing operations in Hengelo, requiring collaboration with Data & Validation Engineering and Industrialization to modernize the data