Senior BI Data Engineer

2 settimane fa

EmiliaRomagna, Italia Mytheresa A tempo pieno

3 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Mytheresa MA in Human Resources Management. HR professional Talent Management & Talent Acquisition Company Description LuxExperience is a premier digital, multi-brand luxury group and the ultimate online shopping destination for global luxury enthusiasts. With a portfolio that includes renowned brands like Mytheresa, NET-A-PORTER, and MR PORTER, LuxExperience offers carefully curated luxury products across womenswear, menswear, kidswear, fine jewelry, watches, and lifestyle categories. Additionally, YOOX and THE OUTNET are key players in the off-season luxury shopping segment. Headquartered globally, the NYSE-listed organization has a strong presence in major international markets. More details can be found at WHAT YOU WILL DO Design, develop, and maintain ETL/ELT pipelines using Databricks (Python, SQL, PySpark). Manage data ingestion and transformation from multiple sources within the AWS ecosystem (S3, Glue, Lambda, etc.). Build and maintain Tabular Cubes (SSAS/ Power BI datasets) to support efficient data modeling and analysis. Collaborate with Product Owners and analysts to translate business requirements into scalable data models and dashboards. Contribute to version control and collaborative development using Bitbucket (Git). Monitor and optimize data workflows, ensuring reliability, scalability, and compliance with BI best practices. Support end-to-end delivery — from data extraction to visualization — within an Agile environment (2-week sprints, sprint planning, iterations, and reviews). WHO YOU ARE Degree in Computer Science, Engineering, or related field. Proven experience as a Data Engineer or BI Developer in cloud-based data environments. Strong hands-on experience with Databricks, SQL, Python, and PySpark. Experience with AWS data services (S3, Glue, Athena, Lambda). Proficiency in data modeling, (DAX, performance tuning). Experience building Tabular Cubes (Analysis Services or Power BI semantic models). Familiarity with Git/Bitbucket for version control and CI/CD integration. Strong analytical and problem-solving mindset, with attention to detail. Excellent communication and teamwork skills, with fluency in English. WHAT WE OFFER Up to 37 days of holiday (including ROL and festivita’ abolite), depending on the length of service, starting with 33 days Language & e-learning courses Staff discount of up to 30% Ticket restaurant Access to LinkedIn Learning Discounted membership for selected sports platforms & gyms Individual support on mental health & well-being Social Day Employee Share Purchase Plan Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries Retail Luxury Goods and Jewelry Retail Apparel and Fashion #J-18808-Ljbffr

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