Bi Data Engineer
2 settimane fa
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.To summarize: The ideal candidate is a data professional with a full-stack mindset, capable of managing end-to-end data processes — from ingestion and transformation in Databricks to semantic modeling and visualization in Power BI and Tabular Cubes.WHAT WE OFFER Performance bonus schemes dependent on the type of role you are in.A pension that both you and the company contribute too.A portal with an array of discounts on things like theme park and cinema tickets.Our famous staff discount along with exclusive staff sales.Private healthcare for you and your family.Flexible working.A chance to be part of a fun and caring team that support each other.Experience Level: Mid-Senior levelWorkplace Type: On-site
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Bologna, Emilia-Romagna, Italia Yoox Net-a-Porter Group (YNAP) A tempo pienoLuxExperience 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...
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BOLOGNA, Italia Net-A-Porter A tempo pienoA leading luxury retail group in Italy is seeking a BI Data Engineer to design and maintain ETL pipelines and manage data ingestion within AWS.The ideal candidate will have strong experience with Databricks, SQL, Python, and AWS services, with a solid educational background in Computer Science.Flexible working options and a performance bonus are offered,...
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BI Data Engineer – Flexible Databricks
1 settimana fa
Bologna, Italia Altro A tempo pienoA leading luxury retail group in Italy is seeking a BI Data Engineer to design and maintain ETL pipelines and manage data ingestion within AWS. The ideal candidate will have strong experience with Databricks, SQL, Python, and AWS services, with a solid educational background in Computer Science. Flexible working options and a performance bonus are offered,...
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BI Data Engineer – Flexible Databricks
1 settimana fa
Bologna, Italia NET-A-PORTER A tempo pienoA leading luxury retail group in Italy is seeking a BI Data Engineer to design and maintain ETL pipelines and manage data ingestion within AWS. The ideal candidate will have strong experience with Databricks, SQL, Python, and AWS services, with a solid educational background in Computer Science. Flexible working options and a performance bonus are offered,...
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BOLOGNA, Italia Yoox Net-A-Porter Group A tempo pienoA leading luxury group in Bologna is looking for a BI Data Engineer to design and maintain ETL pipelines using Databricks and manage data from the AWS ecosystem.The ideal candidate will have a degree in Computer Science and hands-on experience with SQL, Python, and data modeling.Responsibilities include collaborating with teams to build scalable data models...
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BOLOGNA, Italia Altro A tempo pienoExperis è la società IT & Technology del Gruppo Manpower.Le persone e le loro competenze sono il nostro successo e insieme ci poniamo come partner tecnologici dei nostri clienti attraverso servizi e soluzioni.Vogliamo essere artefici, proprio insieme a te, di un ambiente di lavoro innovativo, stimolante e flessibile, attraverso i nostri Valori: People,...
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Bologna, Italia Beni di consumo e di lusso Moda A tempo pienoA leading luxury group in Bologna is looking for a BI Data Engineer to design and maintain ETL pipelines using Databricks and manage data from the AWS ecosystem. The ideal candidate will have a degree in Computer Science and hands-on experience with SQL, Python, and data modeling. Responsibilities include collaborating with teams to build scalable data...
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Senior BI Data Engineer
1 settimana fa
Bologna, Italia YOOX NET-A-PORTER GROUP A tempo pienoA leading luxury group in Bologna is looking for a BI Data Engineer to design and maintain ETL pipelines using Databricks and manage data from the AWS ecosystem. The ideal candidate will have a degree in Computer Science and hands-on experience with SQL, Python, and data modeling. Responsibilities include collaborating with teams to build scalable data...
