ppWe are looking for a Lead Product Software Engineer to drive the design, development and evolution of data-centric applications and platform services within Wolters Kluwer Italia. The role combines strong software engineering leadership with a deep understanding of data-intensive products, enabling analytics, benchmarking, reporting and reusable data services across multiple business domains. The person will actively contribute to implementation while setting technical direction, engineering standards and delivery practices. A key expectation is the adoption of modern AI-assisted software development practices, including specification-driven approaches such as OpenSpec or equivalent methodologies, to improve quality, productivity, maintainability and clarity of delivery. /ph3Key Responsibilities /h3ulliLead the design, development and technical evolution of data-centric applications and platform services. /liliDefine and maintain engineering standards, integration patterns, APIs and reusable technical capabilities. /liliDesign and implement ingestion, processing, storage, serving, monitoring and integration components supporting analytics and reporting use cases. /liliTranslate business and product needs into scalable, maintainable and secure technical solutions. /liliContribute to the definition of data models, semantic layers and shared services supporting benchmarks, dashboards and data products. /liliLeverage AI-assisted development practices to improve software quality, productivity, maintainability and engineering flow. /liliContribute to adoption of specification-driven engineering, including OpenSpec or equivalent methodologies, as part of the software delivery lifecycle. /liliEvaluate and incorporate emerging technologies, including AI-enabled capabilities, where they create measurable business value.

/liliMentor developers and contribute to a culture of engineering excellence, continuous learning and innovation. /li /ulh3Required Qualifications /h3ulliStrong experience in software engineering, product development or platform engineering. /liliSolid backend development experience, ideally in .
NET-based environments. /liliExperience designing and developing data-intensive applications, APIs, integrations or platform services. /liliGood understanding of data ingestion, transformation, storage, serving and analytical consumption patterns. /liliExperience using AI-assisted software development tools as part of the software delivery lifecycle. /liliFamiliarity with specification-driven engineering approaches such as OpenSpec or equivalent methodologies. /liliGenuine interest in AI, software engineering innovation and cutting-edge technology. /liliAbility to continuously evolve engineering practices through experimentation, automation and adoption of new tools and paradigms. /liliStrong communication skills and ability to collaborate with Product, Engineering, Analytics and Business stakeholders. /li /ulh3Additional Valuable Experience /h3ulliExperience with Microsoft Azure and cloud-native architectures. /liliExperience with Microsoft Fabric, Databricks, Synapse, Power BI or equivalent Data Analytics technologies. /liliKnowledge of DataOps, observability, data governance,

monitoring and cost optimization practices. /liliExperience with large-scale data processing, benchmarking services or enterprise data products. /liliExperience working in Agile, product-oriented and cross-functional environments. /li /ulh3What

We Offer
/h3pWe operate in a rapidly growing multinational environment and provide our teams with: People First: care and attention to the work environment, to people, and to their individual and professional growth within the Technology organization. Continuous Learning: Access to top-tier technological training platforms Access to high-quality learning paths through the internal #GROW program Knowledge-sharing communities Customized development paths International and Cross-functional Projects: opportunities to participate in international and cross-functional projects, ensuring the exchange of knowledge and ideas. Working Methodology: an operational approach based on a collaborative, informal work environment that is open to the exchange of ideas. /ph3Benefits /h3ulliHybrid working model Flexible start and end times to support work-life balance /liliMeal vouchers worth €8 /liliOnline well-being programs /liliWelfare platform available to all employees /liliLocation: Milan and lavoro da remoto #Li-Hybrid /li /ulh3Our Interview Practices /h3pTo maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party suppo

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