About ProArch: At ProArch, we partner with businesses around the world to turn big ideas into better outcomes through IT services that span cybersecurity, cloud, data, AI, and app development. We’re 400+ team members strong across 3 countries (we call ourselves ProArchians)—and here’s what connects us all: - A love for solving real business problems - A belief in doing what’s right What’s it like to work here? - You’ll keep growing. You’ll work alongside domain experts who love to share what they know. - You’ll be supported, heard, and trusted to make an impact. - You’ll take on projects that touch industries, communities, and lives. - You’ll have the time to focus on what matters most in your life outside of work. At ProArch, you’ll be part of teams that design and deliver technology solutions solving real business challenges for our clients. With services spanning AI, Data, Application Development, Cybersecurity, Cloud & Infrastructure, and Industry Solutions, your work may involve building intelligent applications, securing business‑critical systems, or supporting cloud migrations and infrastructure modernization.  Every role here contributes to shaping outcomes for global clients and driving meaningful impact. You’ll collaborate with experts across data, AI, engineering, cloud, cybersecurity, and infrastructure—solving complex problems with creativity, precision, and purpose. You’ll join a culture rooted in technology, curiosity, and continuous learning. A place where we move fast, trust you to make an impact, encourage innovation, and support your growth. About Role: ProArch is seeking a talented Azure Data Engineer to enhance our dedicated team. As an Azure Data Engineer, you will play a crucial role in designing, implementing, and managing robust data solutions using Microsoft Azure technologies. Your expertise will help businesses leverage data to make informed decisions and drive their strategies forward. You will collaborate with various stakeholders to create scalable and efficient data pipelines, ensuring data quality and integrity throughout the processes. Responsibilities: - Design, build, and maintain data pipelines and ETL processes in Azure. - Utilize Azure tools such as Data Lake, Data Factory, and Synapse Analytics to manage and analyze data. - Good exposure in Fabric and ETL. - Ensure the quality and integrity of data, troubleshooting and rectifying any data issues. - Collaborate with analytics teams to support their data needs and enhance data-driven decision-making. - Optimize data models and storage solutions for performance and cost efficiency. - Implement data security practices to protect sensitive information. - Stay current with technology trends and best practices in data engineering and cloud platforms.

• Develop, enhance, and maintain CI/CD self-hosted infrastructure using modern DevOps tooling (GitHub Actions Runners stack, ArgoCD, FluxCD etc.). • Automate infrastructure provisioning, configuration management, monitoring, and operational workflows using IaC and scripting languages. • Own the deployment, maintenance, and lifecycle management of systems supporting engineering (Kubernetes clusters, container registries, artifact systems, and internal developer platforms) leveraging deep expertise in Kubernetes, container runtimes, and the broader cloud-native ecosystem (Helm, Kustomize, etc.). • Troubleshoot complex infrastructure and application issues, driving root-cause analysis and developing long-term remediation solutions. • Design, build, and maintain cloud infrastructure across major cloud providers (AWS, GCP, Azure), and develop/support deployments of applications, services, and monitoring with a strong focus on scalability, reliability, and cost optimization. • Develop internal tooling and automation using Terraform, Python, Go, or similar languages to streamline operational tasks and improve developer productivity. • Implement and manage security best practices across cloud environments, including identity management, secrets handling, audit logging, and network controls. • Leverage AI/ML tools to automate repetitive DevOps tasks, operational workflows.

Wir sind CARIAD, das Automotive-Software-Unternehmen der Volkswagen Group. Unsere Teams entwickeln Softwareplattformen und digitale Kundenfunktionen für legendäre Marken wie Audi, Volkswagen und Porsche – und unterstützen so die Volkswagen Group auf ihrem Weg zum führenden automobilen Technologiekonzern. CARIDIANS in Softwarezentren in Deutschland, den USA, China, Estland und Indien arbeiten daran, die Automobilität für alle neu zu gestalten. DEIN TEAM ADAS/AD entwickelt einen skalierbaren, globalen Technologie-Stack für NCAP bis hin zu Level-4-Fahr- und Parkfunktionen. Unsere Technologie wird sowohl grundlegende Fahrerassistenzsysteme als auch fortschrittliche automatisierte Fahr- (ADAS/AD) und Parkfunktionen für alle Marken innerhalb des Volkswagen Konzerns im Bereich „Ownership“ unterstützen. Das AI Platform Team erstellt mithilfe von KI oder menschlicher Annotation die „Ground Truth“ (Referenzdaten) für das Training von ADAS/AD-Funktionen. Das Team verantwortet die mandantenfähige Labeling-Plattform für ADAS und stellt skalierbare, hochwertige Annotation-Workflows sowie integrierte Visualisierungs- und interaktive Ticketing-System-Funktionen für Datenauswahl und Labeling bereit. Es verantwortet Governance, Orchestrierung von Labeling-Jobs und Schnittstellen für externe Dienstleister und interne Annotatoren. Das Team stellt außerdem Analyse- und Visualisierungstools für Datensätze bereit, etwa zur Coverage, Drift-Erkennung und QA-Metriken, und ermöglicht datengetriebene Entscheidungen entlang der gesamten Pipeline. Es stellt die Einhaltung von Datenschutz- und Sicherheitsstandards sicher und bietet gleichzeitig ein nahtloses Nutzererlebnis für Labeling-Operationen. DEINE AUFGABEN - Entwicklung, Bereitstellung und Wartung von Tools zur Ground-Truth-Generierung einschließlich Labeling-Editoren/-Viewer für 2D und 3D - Manuelle KI-gestützte Suche; Auswahl, Planung, Monitoring und Management von Labeling - Orchestrierung von Ground-Truth-Prozessen - Entwicklung und Mitarchitektur hochverfügbarer und skalierbarer Cloud-Services - Monitoring und Unterstützung des Betriebs zur Sicherstellung von Skalierbarkeit und Kosteneffizienz bei Services mit über 1.000 täglichen Nutzern DAS BRINGST DU MIT - Starke Kenntnisse in Scala & Python, Bonus: Java, JavaScript und/oder C/C++ - Erfahrung in der Entwicklung verteilter Anwendungen auf Kubernetes - Deployment mit Infrastructure as Code (Helm) - Praktische Erfahrung mit Azure-Diensten wie EventHub, Service Bus und/oder Storage Queues (ereignisgesteuerte, broker-basierte Architektur) sowie Blob Containers - Arbeiten mit relationalen Datenbanken und Data Warehouses wie PostgreSQL und Databricks - Vertrautheit mit nicht-relationalen Datenbanken z. B. Redis - Workflow- und Batch-Verarbeitung auf Kubernetes in Argo Workflows oder Apache Airflow - Entwicklung von REST- und Pub/Sub-APIs - Nice to have: Erfahrung mit KI-Inferenz oder Videoverarbeitung/Computer Vision NICE TO KNOW - Optionen für Remote-Arbeit - Temporäre Arbeit aus dem Ausland in ausgewählten Ländern - Gleitzeit/Wahlarbeitszeit - Betriebliche Altersvorsorge - Jährliche berufliche Weiterentwicklung - Sabbatical-Option bis zu 6 Monaten - 30 Tage bezahlter + 10 Tage unbezahlter Urlaub - Möglichkeit zum Autoleasing für den VW-Konzern - Wenn Du weitere Fragen zur Candidate Journey bei CARIAD hast, dann kontaktiere uns gerne: careers@cariad.technology Bei CARIAD schätzen wir Individualität und Vielfalt – denn wir sind überzeugt, dass uns unsere Unterschiede stärker machen. Wir setzen uns aktiv dafür ein, Teams mit unterschiedlichen Hintergründen, Perspektiven und Erfahrungen aufzubauen. Unser Ziel ist ein Arbeitsumfeld, in dem sich alle wertgeschätzt fühlen und ihre Stärken einbringen können. Wenn du aufgrund einer Behinderung Unterstützung bei deiner Bewerbung brauchst, melde dich gerne bei uns unter careers@cariad.technology – wir helfen dir gerne weiter.

We are CARIAD, the automotive software company of the Volkswagen Group. Our teams build automotive software platforms and digital customer functions for iconic brands like Audi, Volkswagen, and Porsche – supporting the Volkswagen Group in becoming the leading automotive technology company. With CARIDIANS in Germany, the USA, China, Estonia, and India, we are transforming automotive mobility for everyone. Join us and be part of this exciting journey! YOUR TEAM ADAS/AD develops a scalable, global technology stack for NCAP up to Level 4 Driving and Parking functions that can be always up-to-date. Our technology will power basic driver assistance as well as advanced automated Driving (aka ADAS/AD) and Parking functions for all brands within Volkswagen Group in the “Ownership” spectrum. The AI Platform team develops Ground Truth using AI or humans for training ADAS/AD function. You will contribute to one the Labeling Platform. The Labeling Platform team owns the multi‑tenant labeling platform for ADAS, ensuring scalable, high‑quality annotation workflows and integrated visualization and interactive ticketing system capabilities for AI assisted selection data and labeling. It governance, labeling job orchestration, and vendor/internal annotator interfaces. The team also provides dataset analytics and visualization tools for coverage, drift detection, and QA metrics, enabling data‑driven decision‑making across the pipeline. It ensures compliance with privacy and security standards while delivering a seamless user experience for labeling operations. WHAT YOU WLL DO - Develop, deploy and maintain tooling that enables ground truth generation which includes Labeling 2D and 3D editors/viewers - Manual AI-based search; Labeling Selection, Planning, Monitoring and management - Orchestration of ground truth processes - Develop and co-architect high-available & scalable cloud services - Monitor and support operations service runtime for scalability and cost efficiency for services with over 1K daily users WHO YOU ARE - Strong proficiency in Scala & Python, Bonus: Java, JavaScript, and/or C/C++ - Experience developing distributed applications on Kubernetes - Deployment using Infrastructure as Code (Helm) - Hands-on experience with Azure services: EventHub, Service Bus, and/or Storage Queues (event-driven, broker-based architecture) and Blob Containers - Working with relational databases and data warehouses PostgreSQL and Databricks - Familiarity with non-relational databases e.g., Redis - Workflow and batch processing on Kubernetes in Argo Workflows or Apache Airflow - Development of REST and Pub/Sub APIs - Nice to have: experience with AI inference or video processing/computer vision NICE TO KNOW - Remote work options - Temporary work from abroad in selected countries - Flextime / optional working hours - Company pension plan - Annual professional development - Sabbatical option up to 6 months - 30 days paid + 10 days unpaid leave - Possibility for VW Group car leasing - If you have further questions about the candidate journey at CARIAD, please contact us: careers@cariad.technology At CARIAD, we embrace individuality and diversity because we believe our differences make us stronger. We actively seek to build teams with a variety of backgrounds, perspectives, and experiences. Our goal is to create an environment where everyone feels valued and empowered to contribute. If you need assistance with your application due to a disability, please reach out to us at careers@cariad.technology - we are happy to support you.