Review operational costs, negotiate contracts with vendors, and manage vendor relationships. Requirements: Bachelor's degree in Engineering, Computer Science, or a related field. HV Authorised Person (Experienced with HV Systems) Electrical/Mechanical Engineering HNC or HND (Successfully completed apprenticeship in either) C&G Pts. 1 & 2, equivalent or exceeds. 17th Edition IEE: Wiring and Installation (Ability to attain 18th Edition through additional training) C&G 2391 test and inspection; BS 7671:2001 for inspection, testing and certification.
Your Profile - Qualifications • Bachelor’s/Master’s/PhD in Computer Science, Applied Mathematics, Engineering, or related field. • Strong background in machine learning, deep learning. • Proven experience with 3D graphics, computational geometry (meshes, point clouds, surface reconstruction) or computer vision • Proficiency in Python, C++, and ML frameworks (TensorFlow, PyTorch). • Experience with medical imaging data (CT, CBCT, intraoral scans) is a plus. • Full professional proficiency in English is required Preferred Skills • Familiarity with GANs, diffusion models, or neural rendering for material reconstruction. • Familiarity with biomedical applications. • Strong problem-solving skills and ability to work in interdisciplinary teams. • Excellent communication and documentation abilities. • Large language modules (plus) What We Offer • Opportunity to work on cutting-edge applications in digital dentistry and orthodontics. • Collaborative environment with experts in ML, graphics, and healthcare. • Competitive salary and benefits package. • Career growth in a rapidly evolving field.
RAG-Anwendungen, Agenten oder Tooling) in stabile, produktive Services wie APIs, Backends oder Worker – inklusive Architektur, Error Handling und technischer Dokumentation Aufbau zuverlässiger Daten- und Dokumentenpipelines (Ingestion, Transformation, Indexing/Embeddings, Retrieval) als zentrale Bausteine für produktionsreife KI-Lösungen Entwicklung und Etablierung umfassender Test- und Qualitätsstrategien (Unit-, Integrations- und End-to-End-Tests) sowie LLM-spezifischer Evaluations- und Regressionsmechanismen (Eval-Sets, Guardrails, Versionierung) Aufbau und Betrieb von CI/CD-Pipelines, Umgebungen (Dev/Test/Prod) und Release-Prozessen für zuverlässige Bereitstellung GenAI-basierter Services Implementierung moderner Observability (Logging, Tracing, Metrics, Dashboards, Alerts) sowie Umsetzung von Security- und Governance-Standards (Identity/RBAC, Secrets, Policies) Ihr Profil Abgeschlossenes Studium im Bereich Informatik, Wirtschaftsinformatik oder vergleichbare Qualifikation Mehrjährige Erfahrung im Software Engineering, idealerweise mit Schwerpunkt Python; zusätzliche Kenntnisse in TypeScript, Java oder C# sind von Vorteil Erfahrung in der produktiven Entwicklung von Backend-Services einschließlich Tests, CI/CD und Integrationslandschaften Fundiertes technisches Verständnis für Betrieb und Stabilität produktiver Systeme – insbesondere Monitoring, Alerting, Incident-Readiness sowie Performance- und Kostenbewusstsein Praxis im Umgang mit Cloud-Technologien, bevorzugt Microsoft Azure (Identity, Secrets Management, Storage/Compute, Netzwerkgrundlagen) Strukturierte, qualitätsorientierte Arbeitsweise sowie der Anspruch, hochwertige und skalierbare GenAI-Lösungen in Produktion zu bringen Einsatzort: Dortmund ǀ Nordrhein-Westfalen
YOUR TASKS Design and maintain scalable data architectures and pipelines Collaborate with cross‑functional teams on data requirements Implement data quality and governance processes Drive adoption of modern data engineering technologies Guide and coach junior data engineers YOUR PROFILE Degree in Computer Science, Engineering or related field Minimum of 5+ years experience in data engineering, including architecture Expertise in ETL, Data Lakes and data warehousing Strong SQL, SSIS, SSAS and Azure SQL/databricks skills Experience with CI/CD (Azure DevOps, git) Programming skills in R, Python or Scala Very good English and strong collaboration skills YOUR BENEFITS Nordex offers a range of attractive benefits – here’s a selection of what you can look forward to.
YOUR TASKS Design and maintain scalable data architectures and pipelines Collaborate with cross‑functional teams on data requirements Implement data quality and governance processes Drive adoption of modern data engineering technologies Guide and coach junior data engineers YOUR PROFILE Degree in Computer Science, Engineering or related field Minimum of 5+ years experience in data engineering, including architecture Expertise in ETL, Data Lakes and data warehousing Strong SQL, SSIS, SSAS and Azure SQL/databricks skills Experience with CI/CD (Azure DevOps, git) Programming skills in R, Python or Scala Very good English and strong collaboration skills YOUR BENEFITS Nordex offers a range of attractive benefits – here’s a selection of what you can look forward to.
What makes you stand out You hold a degree in Business Informatics, Data Science, Computer Science, Industrial Engineering, Business Administration, or a comparable field.You have several years of experience in building, operating, or further developing data‑driven products—ideally in a sales, marketing, or customer service context.You have solid knowledge in designing and developing cloud‑based data products such as data warehouses, semantic layers, analytical models, and reporting and analytics solutions.You possess strong knowledge of data architectures, data engineering, data science, and data governance.You bring experience in leading interdisciplinary teams both functionally and disciplinarily—ideally including Data Engineers, Data Scientists, Product Owners, and Data Governance roles.You demonstrate strong analytical and conceptual thinking skills and the ability to prepare complex topics in a structured and understandable way.You communicate effectively and are able to bridge different target groups (business & tech).You work with strong execution and results orientation while ensuring high data quality.You have excellent German and English skills, both written and spoken.