Global Data Engineer Milano

Global Data Engineer
Milano
Lombardia, Milano

Who we are Amplifon is an Italian multinational company and the global leader in hearing care solutions and services for retail expertise, customization, and consumer care. More than 20, 000 professionals every day in a network of more than 9, 500 points of sale across 26 countries give back the joy of hearing, feeling, and living to thousands of people across the world. In Amplifon we believe people are the most important component of our success. Thanks to our best-in-class Hearing Care Professionals and front and back-office Teams, we are able to put the everyday taps, pops and splashes back into the lives of our customers. We believe that it's only through strong investment in talent engagement, continuous professional development, support, and recognition that our people can exceed every limit and build a fulfilling career. Amplifon is working on boosting a Winning Culture that will lead our employees towards the future, starting from the improvement of our Winning Workplace. Aligned to this goal, we offer a hybrid working policy, allowing employees to work 9 days/month remotely. Join our Global Data Science & Architecture Team We're seeking a passionate Data Engineer to join our high-impact Global Data Team. You'll play a key role in data engineering and architecture projects, which shape the future of data access and analysis for the entire organization.

Be at the Forefront of Innovation Collaborate on a cutting-edge program to build a next-generation global data platform. Design and implement data pipelines using industry-leading tools. Optimize and evolve data infrastructure to support advanced data science initiatives. Identify and implement optimizations to enhance the efficiency and scalability of our existing architecture. Foster a collaborative environment by working closely with Data Scientists, Architects, and other stakeholders. What We Are Looking For 3-5 years of experience. Proven experience as a Data Engineer with a strong understanding of data engineering principles. Expertise in Google Cloud Platform (Cloud Composer, BigQuery, Cloud Storage, Cloud SQL, . . . ). Expertise in Python, SQL. Experience with DBT, Terraform, Liquibase, and version control systems (like Git). Experience with DevOps principles and GitHub Actions. Knowledge of the main data integration methodology (APIs, CDC. . . ). Nice to have Google Cloud Professional Certifications. Experience with Azure Analysis Services, Power BI, and Dataiku. Familiarity with Vertex AI.

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