Data & AI Engineer (m/f/d)

130 years of trust, time to shape what's next. Allianz Group is one of the world's leading insurers and asset managers - built on over a century of stability, expertise, and financial strength. Allianz Services is where that legacy meets the future. 8,200+ people. Eight countries. Three continents. We deliver specialized services to clients within Allianz Group, powered by AI, advanced analytics, and a mindset that refuses to stand still. From core insurance operations to engineering and consulting services, we reimagine how insurance works. What truly sets us apart are our people and the trusted partnerships we build, anchored in our values of expertise, integrity, and empowerment. We don't support the business. We shape it.

Role Overview

Are you passionate about data and AI and eager to see how they transform the world's leading insurance brand? Join Allianz Services as a Data & AI Engineer (m/f/d) and dive into impactful data science and engineering projects within our Az Services Spain Engineering Hub. Collaborate with a dynamic, international team to design, build, and productionize models and data-driven systems that deliver measurable business outcomes. Partner closely with the Business Owner to translate goals into working solutions with clear SLAs, governance, and ROI to truly "Make AI Happen."

What you do: 

• Design and implement machine learning models and data-driven applications, with a focus on robust system design and clean, maintainable pipelines.
• Develop and deploy a diverse range of models, moving comfortably between classical machine learning (e.g., LightGBM, XGBoost, Scikit-Learn) for structured data and other modeling approaches for unstructured or text-based data as needed.
• Design evaluation frameworks and feedback loops, including offline/online testing and regression checks, to ensure model accuracy and reliability over time.
• Create secure integrations between models and internal APIs, databases, and SaaS systems, applying REST principles and API versioning so consumers keep working as model behavior evolves, and returning structured, validated response schemas rather than raw model output.
• Deploy new model versions behind stable, versioned endpoints, backed by automated testing suited to non-deterministic outputs (contract tests, output validation, regression benchmarks) and containerized deployments (Docker, Kubernetes).
• Optimize services for latency, reliability, and cost-efficiency, and build in the logging, monitoring, and traceability needed to run them confidently in production.
• Write high-quality, testable code and maintain CI/CD pipelines; produce clear technical documentation to ensure long-term maintainability.

What you bring: 

• 5–7 years of professional experience delivering end-to-end ML or data engineering projects, from data preparation through production deployment and monitoring.
• Strong Python programming and software engineering fundamentals (unit testing, type hinting, packaging).
• Solid understanding of the machine learning product lifecycle and hands-on experience with MLOps practices.
• Proficiency in CI/CD automation (GitHub Actions, Jenkins) and containerization (Docker, Kubernetes).
• Hands-on experience with at least one major cloud platform (Azure preferred); comfort designing versioned, well-documented APIs is a plus.
• A demonstrable ability to coordinate with cross-functional teams and the self-motivation to drive delivery within an agile environment.
• Good level of English (required);
• We highly welcome candidates with a genuine interest and affinity for Information Technology (IT) and Generative Artificial Intelligence (GenAI), as these attributes are considered valuable assets to our team. 

What we offer: 

• We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad.
• We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location).
• From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered.
• Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career and help our people return from career breaks with experience that nothing else can teach.