Pb The Company /b /pp KIKO MILANO was founded in 1997 in Milan and since then has revolutionized how cosmetics are sold globally. We thrive to offer an incredible variety of products, textures colours, a multi-sensorial experience in innovative technology yet always at an affordable price. Based in Italy, and truthful to its DNA, KIKO MILANO takes advantage of combining trustworthy quality, creativity and stunning aesthetics. /p pb Your role at KIKO MILANO /b /pp We are looking for a b Senior Data Engineer /b to join KIKO MILANO’s IT Team em, /em reporting to the b Data, AI Cloud Director /bem. /em /p p Such talent will be is responsible for designing, building, and optimizing scalable data pipelines and data platforms within a cloud environment (AWS/Databricks) to support advanced analytics and AI use cases. The role is focused on developing reliable data ingestion and transformation frameworks, implementing efficient data models for Data Warehouses and Data Marts, and ensuring high performance, security, and governance of the data infrastructure. /p p In particular, you will: /p ulli Design, build, and optimize scalable and reliable ETL/ELT data pipelines to guarantee high performance and sustainable costs /lili Develop and validate data ingestion frameworks for various sources (APIs, databases, streaming sources) /lili Implement data transformation, aggregation, and validation logic to prepare data for analytical and AI use cases /lili Contribute to the strategic technical roadmap and architecture for the Databricks Enterprise Data Platform (Data Lake, Data Warehouse, Data Mesh/Fabric) in AWS /lili Monitor, tune, and troubleshoot data infrastructure components in the cloud environment to ensure high availability and performance /lili Design and implement optimal data models (e.g., Star Schema, 3NF) for Data Warehouses and operational Data Marts /lili Ensure adherence to security and governance standards in all data pipeline development /lili Proficiency understanding business requirements, translating in technical design and implementation /li /ul pb What you will need to succeed /b /pulli Deep expertise in modern data architectures (Data Lakehouse, Data Mesh, Dimensional Modeling) /lili Strong expertise over Databricks platform /lili Expertise in modern FE presentation layer (eg. PowerBI) /lili Expertise in Big Data technologies (e.g., Spark) and workflow orchestration tools (e.g., Airflow, ADF) /lili Strong focus on cost optimization and Cloud FinOps within the data domain /lili Expertise in AWS services (VPC, EC2, S3, RDS, Lambda, ECS/EKS, IAM) is nice to have /lili Strong understanding of automation, Infrastructure as Code, and CI/CD pipelines in a data context /lili Experience with Machine Learning Operations (MLOps) and productionizing AI models is higly preferred /lili Familiarity with data virtualization and data fabric concepts /lili Fluency in English (required for technical documentation and international alignment) /li /ul pb We would love if you had /b /pulli Technical Leadership abilities, capable of driving technical direction /lili Proactive attitude towards technical debt reduction and process improvement /lili Strong analytical abilities to troubleshoot and resolve complex data flow issues /lili Experience coordinating work with external system integrators /lili Ability to work effectively within an agile team environment, collaborating with Data Scientists and Business Analysts /li /ul p KIKO si impegna ad ampliare i propri sforzi per garantire le Pari Possibilità e dedica una particolare attenzione all’integrazione delle persone con disabilità all’interno dell’azienda. Tutte le posizioni aperte in KIKO sono rivolte anche ai candidati appartenenti alle Categorie Protette l.68/99. I dati verranno trattati esclusivamente ai fini di Ricerca del Personale. Leggi l#39;informativa privacy riportata al link /p