Senior bi data engineer (f / m / d)

Mytheresa; Roma; Ibrido; EUR 30.000 - 50.000; Tempo pieno

Descrizione del lavoro

A luxury online shopping platform is seeking a Data Engineer to design, develop, and maintain ETL/ELT pipelines using Databricks. The ideal candidate will have strong skills in SQL, Python, and AWS services, with a degree in Computer Science or Engineering. This role offers flexibility and numerous employee benefits, including generous holiday days and professional development courses.

Servizi

Up to 37 days of holiday

Language & e-learning courses

Staff discount of up to 30%

Ticket restaurant

Access to Linked In Learning

Discounted membership for selected sports platforms & gyms

Individual support on mental health

Employee Share Purchase Plan

Competenze

• Proven experience as a Data Engineer or BI Developer in cloud-based data environments.
• Strong hands-on experience with Databricks, SQL, Python, and Py Spark.
• Experience building Tabular Cubes (Analysis Services or Power BI semantic models).
• Familiarity with Git / Bitbucket for version control and CI / CD integration.

Mansioni

• Design, develop, and maintain ETL / ELT pipelines using Databricks.
• Manage data ingestion and transformation from multiple sources within the AWS ecosystem.
• Build and maintain Tabular Cubes to support data modeling and analysis.
• Collaborate with Product Owners and analysts to translate business requirements.
• Monitor and optimize data workflows for reliability and scalability.
• Support end-to-end delivery from data extraction to visualization.

Conoscenze

Databricks

SQL

Python

Py Spark

AWS services

Data modeling

DAX

Version control

Analytical skills

Communication

Formazione

Degree in Computer Science, Engineering, or related field

Descrizione del lavoro

Lux Experience 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, Lux Experience 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, Py Spark).

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 Py Spark.

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 Linked In Learning.

Discounted membership for selected sports platforms & gyms.

Individual support on mental health & well‑being.

Social Day.

Employee Share Purchase Plan.