Specialist Data Engineer & AI

We are seeking a highly motivated Data Engineer & AI Specialist to drive digital transformation and data-driven decision-making within the Quality organisation. In this role, you will design, develop, and manage scalable data solutions, AI applications, and advanced analytics capabilities that support quality improvement, manufacturing excellence, and business performance. You will collaborate closely with Quality, Manufacturing, Engineering, IT, and Business stakeholders to build trusted data pipelines, implement AI and machine learning solutions, develop actionable dashboards, and generate insights that improve product quality, operational efficiency, and customer satisfaction. The ideal candidate combines strong technical expertise in data engineering, cloud technologies, and AI with a business-oriented mindset and the ability to translate complex data into measurable business value.

Key responsibilities in your new role Data Engineering & Architecture Design, develop, and maintain scalable data pipelines, data models, and data products supporting Quality and Manufacturing use cases. Collect, integrate, process, and transform structured and unstructured data from manufacturing systems, testing platforms, quality databases, customer feedback systems, and enterprise applications. Ensure data reliability, availability, scalability, and performance across quality-related analytics solutions. Support data governance, master data management, data lineage, and data quality initiatives across the organisation. Artificial Intelligence & Advanced Analytics Develop, deploy, and monitor machine learning, predictive analytics, and AI models to improve quality performance and operational efficiency. Apply advanced statistical analysis and AI techniques to identify trends, anomalies, root causes, and predictive quality risks. Participate in AI experimentation, proof-of-concepts, and innovation initiatives aligned with business priorities. Collect, integrate, process, and transform structured and unstructured data from manufacturing systems, testing platforms, quality databases, customer feedback systems, and enterprise applications. Ensure responsible and compliant use of AI solutions according to corporate governance and data privacy requirements. Business Intelligence & Reporting Develop and maintain interactive dashboards, KPI frameworks, and self-service analytics solutions using Power BI and other visualisation tools. Translate business requirements into meaningful metrics and data-driven insights. Create executive-level reports and visualisations to support operational and strategic decision-making. · Define and monitor quality performance indicators and continuous improvement metrics. Ensure responsible and compliant use of AI solutions according to corporate governance and data privacy requirements. Collaboration & Business Partnership Partner with Quality, Manufacturing, Engineering, and Digitalisation teams to identify opportunities for data-driven improvements. Lead workshops and requirements-gathering sessions with stakeholders to define analytics and AI use cases. Promote knowledge sharing and contribute actively to internal data and AI communities. Drive adoption of data-driven decision-making throughout the organisation. Innovation & Continuous Improvement Proactively identify opportunities to leverage data, automation, and AI to generate business value. Stay current with emerging technologies, industry trends, and best practices in Data Engineering, AI, and Quality Management. Contribute to digital transformation roadmaps and strategic data initiatives Your profile Qualifications and skills to help you succeed Education Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related field. Professional Experience One till two years of experience strongly preferred in Data Engineering, Data Science, AI, Business Intelligence, or Advanced