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Role Purpose Solicitar este puesto es sencillo. Desplácese hacia abajo y haga clic en "Solicitar" para ser considerado para esta posición. A key member of a team, responsible for designing, developing, and deploying AI solutions that drive business value. To develop and operationalize AI capabilities leveraging Databricks on Microsoft Azure, and build the understanding of how AI can transform business processes through a series of use cases. Key Responsibilities • Act as the department's AI & Cloud Architecture SME, providing strategic leadership and expert guidance on AI (Machine Learning, Generative AI, LLMs, Agentic AI) and Microsoft Azure technologies., • Design, build, test, and optimize scalable AI and cloud architectures on Azure, ensuring secure, reliable, and efficient data processing, storage, and integration., • Develop and implement AI-powered solutions leveraging Azure OpenAI Service, Databricks, and other cloud-native technologies to deliver high-value business outcomes., • Evaluate, select, and integrate foundation models, third-party AI services, and emerging technologies, ensuring alignment with business goals and technical standards., • Establish and maintain best practices, governance frameworks, operating procedures, and documentation for AI, data, and cloud platforms., • Collaborate with cross-functional teams to provide technical leadership, support major initiatives, and champion AI adoption across all areas of the organization., • Drive innovation and continuous improvement by staying current with advancements in AI, cloud computing, data engineering, and industry best practices. Experience & Qualifications • 5 years of experience in AI/ML engineering, including at least 2 years specializing in Generative AI, NLP, LLMs, or Agentic AI solutions., • Proven experience designing and delivering enterprise-scale AI, data, and cloud solutions using Microsoft Azure and Databricks platforms., • Strong hands-on expertise in Python, SQL, Spark, Azure AI services, Azure OpenAI, Azure Data Lake, Databricks, MLflow, Delta Lake, and model-serving technologies., • Demonstrated experience building and deploying LLM-based applications, including prompt engineering, RAG architectures, vector databases, AI agents, and orchestration frameworks such as LangChain or LlamaIndex., • Proven track record of leading AI, data, or technology projects and mentoring technical teams in AI/ML development, solution design, and implementation., • Experience with MLOps practices, model lifecycle management, monitoring, fine-tuning techniques (LoRA, RLHF, instruction tuning), and CI/CD automated delivery pipelines., • Degree in Computer Science, Data Science, Machine Learning, or a related field (Master's or PhD preferred), with relevant certifications such as Microsoft Azure AI Engineer Associate or Databricks Machine Learning Professional; insurance or financial services experience is an advantage. 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 balancing family and career and help our people return from career breaks with valuable experience. Access to over 10,000 on-demand learning resources and programs supports you in taking control of your career development., • Actual work-life balance policies: entry-leave flexibility of 2 hours every day, reduced schedule on Fridays and during summer, 26 holiday days per year, recoverable working hours, as well as a hybrid workplace model., • Relocation service for international transfers., • An open and international working environment. About Allianz Technology With its headquarters in Munich, Germany, Allianz Technology is Allianz's global IT service provider and delivers IT solutions that drive the group's digitalization. With more than 11,000 employees in over 20 countries around the world, Allianz Technology is tasked to run, optimize, transform, and innovate the infrastructure, applications, and services together with Allianz companies to co-create the best customer experience. We service the entire spectrum of digitalization -- from one of the industry's largest IT infrastructure projects that spans data centres, networks, and security, to application platforms ranging from workplace services to digital interaction. In short: We deliver comprehensive end-to-end IT solutions for Allianz in the digital age. We are the backbone of Allianz. Find us at: to Integrity, Fairness & Inclusion Allianz Technology is proud to be an equal opportunity employer dedicated to fostering an inclusive work environment for everyone. We embrace individuals of all gender identities and expressions, sexual orientations, ethnicities, ages, nationalities, religions, disabilities, and philosophies of life. Ultimately, our greatest strength as a company lies in the unique skills, experiences, and backgrounds our employees contribute. We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations. To Recruitment Agencies Allianz Technology has an in-house recruitment team that sources great candidates directly. Therefore, Allianz Technology does not accept unsolicited resumes from agencies or search firm recruiters. When we do work with recruitment agencies, that engagement is formalized by a contract. Fees will only be paid when there is a contract in place. xkdbapo Without a contract in place, we will not accept invoices on unsolicited resumes, even if the candidate was ultimately employed by Allianz. 98052 | IT & Tech Engineering | Professional | Non-Executive | Allianz Technology | Full-Time | Permanent #J-18808-Ljbffr

Experteer Overview In this Technical Lead role, you will own the design, implementation, and evolution of the Enterprise Data Platform built on Databricks. You’ll partner with the Product Owner to convert priorities into scalable solutions, set engineering standards, and lead a Scrum team. You’ll actively build platform capabilities and govern data assets to enable self-service analytics, AI/ML, and enterprise reporting. This is a hands-on leadership position that drives architecture and delivery in a fast-growing environment. Compensaciones / Beneficios • Act as technical leader of the Enterprise Data Platform Scrum Team • Partner with Product Owner to translate business priorities into technical solutions • Drive technical decisions and establish platform standards • Define architecture principles, engineering practices, and implementation patterns • Lead design reviews and ensure consistency across platform components • Design, develop, and maintain core platform capabilities on Databricks • Build ingestion, transformation, orchestration, and data sharing solutions • Implement and optimize data pipelines using Spark, PySpark, SQL, and Databricks-native services • Design and implement data products and reusable platform services • Contribute directly to platform development activities and proof-of-concepts • Implement governance-by-design using Unity Catalog, metadata, lineage, and access controls • Define standards for data quality, lifecycle management, and schema evolution • Ensure secure and governed access to enterprise data assets • Collaborate with Security and Data Governance stakeholders to enforce compliance • Mentor future Data Engineers joining the team • Establish engineering standards and best practices • Support recruitment and technical assessment of future team members Responsabilidades • Bachelor or Master degree in Computer Science, Engineering, Information Systems, or related field • 7-10 years total experience • 3-5 years as Tech Lead on Databricks + Unity Catalog • Strong hands-on experience with Databricks in production environments • Experience with Spark, PySpark, SQL, and modern data engineering practices • Experience designing and building cloud-native data platforms on Azure • Experience implementing Delta Lake, Unity Catalog, Databricks Workflows, and data governance controls • Experience building scalable batch and streaming data pipelines • Strong understanding of data products, metadata management, lineage, and platform governance • Ability to balance strategic thinking with hands-on delivery Requisitos principales • flexible remote work options • employee wellbeing programs • professional development opportunities • diverse and inclusive culture • world-class learning platforms • competitive benefits

Europe, we are seeking a Senior Backend Developer (Delta Team) to help drive our Operations function from our Barcelona hub.

Operaciones en España Número de empleados: 1300 Actividades principales: catering aéreo y ferroviario Clientes clave: American Airlines, Emirates, Delta, Binter, Air Nostrum, Ouigo, por mencionar sólo algunos Tu puesto: Estamos buscando un(a) Responsable del departamento Calidad y Prevención de

Experiencia en Salesforce: Al menos 3-4 años de experiencia previa trabajando como Salesforce Developer (Apex, LWC, Triggers, SFDX). Gestión de Despliegues Salesforce: Experiencia demostrable en la creación de despliegues delta, despliegues destructivos y uso de Salesforce CLI (SFDX). Te apasiona