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Principal AI & Data Cloud Platform Engineer
At UNION, we believe in keeping communication simple, clear and human – not only with our customers, but also with one another. According to our employee surveys, our strengths include flexibility, a wide variety of tasks, a positive atmosphere and a genuine sense of curiosity. At the same time, we offer the stability and resources of a large corporate organization, combined with opportunities for individual professional growth.
Thanks to the feedback of our employees, UNION has earned the Great Place to Work certification, recognizing us as one of the best workplaces in Hungary. In 2025, UNION Insurance was also named the most attractive employer in the financial services category, based on the opinions of employees surveyed in Hungary as part of the Randstad Employer Brand Research.
Our principal shareholder is the Austrian VIENNA INSURANCE GROUP, one of the largest insurance groups in Central and Eastern Europe, with a history spanning nearly 200 years.
- The Principal AI & Data Cloud Platform Engineer will be responsible for defining the architecture, standards and technical direction of our enterprise Azure Data & AI Platform. This role will work closely with Data Engineers, Data Scientists, Cloud Platform Engineers, Security Engineers and Governance Analysts to build a scalable, secure and modern cloud platform supporting data engineering, advanced analytics, machine learning and AI workloads.
- The role combines strong cloud data platform engineering expertise with technical leadership across MLOps and AI platform capabilities, ensuring that data and machine learning solutions can move efficiently from experimentation to secure, reliable and governed production environments.
- Design and own the Azure Native Data & AI Platform architecture
- Lead Azure Databricks platform implementation and evolution
- Define enterprise data, analytics, ML and AI platform standards and best practices
- Design Lakehouse and Medallion architectures
- Define the technical architecture and standards for enterprise MLOps capabilities
- Define patterns for operationalizing machine learning models from development through production
- Define standards for model lifecycle management, deployment and monitoring on the platform
- Drive the adoption and evolution of MLflow and related ML lifecycle capabilities
- Define reusable platform capabilities that enable Data Scientists to develop, deploy and operate machine learning solutions efficiently
- Establish architectural patterns for batch and real-time model inference and model serving
- Drive platform scalability, reliability, observability and performance
- Lead Infrastructure as Code adoption
- Design CI/CD standards and patterns for data, ML and platform components
- Drive automation across data and machine learning solution lifecycles
- Mentor engineering teams and provide technical leadership
- Collaborate with Data Scientists on productionization patterns and technical requirements for ML and AI solutions
- Collaborate with Security and Governance teams to ensure secure and governed data and AI workloads
- Evaluate emerging Azure, Databricks, Machine Learning and Generative AI capabilities
- Support enterprise architecture and technology roadmap planning
- 7+ years of experience in Data Engineering, ML Engineering, Cloud Platform Engineering, or a related field.
- 3+ years of experience designing and developing enterprise-scale Azure Data Platforms or comparable cloud platforms on AWS or GCP.
- Strong experience with Azure Databricks, Apache Spark, and distributed/parallel data processing.
- 5+ years of hands-on experience with Python and strong SQL skills.
- Strong understanding of modern data architectures, including Delta Lake, Azure Data Lake Storage Gen2, and Azure Data Factory.
- Solid understanding of machine learning lifecycles, MLflow, and MLOps architecture, including model deployment and productionization patterns.
- Proven experience with CI/CD, Azure DevOps or GitHub Actions, and Infrastructure as Code using Terraform.
- Strong enterprise architecture experience, with the ability to design scalable, secure, and maintainable cloud data and AI platforms.
- Proven technical leadership and mentoring experience, with the ability to drive architectural decisions and take end-to-end ownership of complex initiatives.
- Excellent analytical, problem-solving, and communication skills, with the ability to communicate effectively with both technical and non-technical stakeholders.
- Excellent professional communication skills in English.
- Experience with Azure Machine Learning or comparable enterprise ML platforms.
- Experience with enterprise data governance and metadata management platforms such as Unity Catalog or Microsoft Purview.
- Experience with data quality frameworks, lineage, access governance, and data discovery.
- Experience with Feature Store concepts, model serving, and batch or real-time inference architectures.
- Experience with Docker, Kubernetes, and containerized workloads.
- Experience with Azure OpenAI, Large Language Models (LLMs), RAG, and vector database architectures.
- Experience with event-driven architectures and streaming technologies such as Azure Event Hubs or Kafka.
- Azure Solutions Architect certification.
- Databricks Professional Certification.
- You’ll have the opportunity to take on independent, responsible tasks and make a real impact.
- You can work from home for most of the month, giving you the flexibility to balance work and everyday life.
- We look forward to seeing you in the office on team days, where you’ll enjoy a modern, comfortable and high-quality working environment.
- We offer an attractive benefits package, including cafeteria package, company insurance plans, a company mobile phone and employee discounts.
- Your health and well-being matter to us. That’s why all our employees have access to health insurance services, which can also be extended to cover family members.
- We’re more than just a workplace – we’re a community. You’ll have plenty of opportunities to take part in community and CSR initiatives, as well as company events throughout the year.
Állás azonosító: B-1223
Pozíció pontos megnevezés: Principal AI & Data Cloud Platform Engineer
Munkavégzés helye: Országos
Szakterület: Biztosítástechnika és elemzés
Munkaszerződés típusa: Határozatlan idejű
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