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 https://investors.luxexperience.com.
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.