BI Data Engineer (f/m/d)

THE NET A PORTER GROUP ITALY S.R.L.; Emilia-Romagna; Híbrido; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Up to 35 days holiday

Staff discount

Mobile office

Annual welfare allowance

Employee Share Purchase Plan

Descripción de la vacante

LuxExperience is seeking a Mid-Senior Data Engineer/BI Developer to design, build, and optimize data pipelines using Databricks and Python. You will ingest data from multiple AWS sources (S3, Glue, Lambda) and create robust data models and Power BI/SSAS cubes for analytics.

The role is hybrid in Italy and requires strong SQL, PySpark, and data modeling skills, plus experience with BI tooling and Git-based version control. English fluency is essential.

Formación

• 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 and BI semantic models.
• Familiarity with Git/Bitbucket for version control and CI/CD integration.
• Experience with Agile methodologies (Jira, Scrum).

Responsabilidades

• Design, develop, and maintain ETL/ELT pipelines using Databricks (Python, SQL, PySpark).
• Manage data ingestion and transformation from multiple sources within AWS (S3, Glue, Lambda).
• Build and maintain Tabular Cubes (SSAS/ Power BI datasets) to support data modeling and analysis.
• Collaborate with Product Owners and analysts to translate business requirements into scalable data models and dashboards.
• Monitor and optimize data workflows for reliability and scalability.
• Support end-to-end delivery from data extraction to visualization in an Agile environment.

Conocimientos

Databricks

SQL

Python

PySpark

Data modeling

English fluency

Educación

Degree in Computer Science or Engineering

Herramientas

AWS (S3, Glue, Athena, Lambda)

Tabular Cubes (SSAS/Power BI)

Git/Bitbucket

Power BI

BI/ETL tooling

Descripción del empleo

LuxExperience is the leading digital, multi-brand luxury group and the online shopping destination for luxury enthusiasts worldwide. LuxExperience operates a portfolio of some of the most distinguished store brands in digital luxury and creates communities for luxury enthusiasts with unique digital and physical experiences. Mytheresa, NET-A-PORTER and MR PORTER, jointly comprising the luxury segments of LuxExperience, offer highly curated edits of the most prestigious luxury brands across the world, featuring womenswear, menswear, kidswear, fine jewelry & watches, and lifestyle products. YOOX, which forms the off-price segment of LuxExperience, is the leading destination for multi-brand off-season online luxury shopping. The NYSE listed group operates worldwide.

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.
• Experience with DBT or similar data transformation frameworks (nice to have).
• Knowledge of CI/CD pipelines for data deployments (nice to have).
• Experience working with Agile methodologies (Jira, Scrum) (nice to have).
• Previous exposure to e-commerce or retail data environments (nice to have).

WHAT WE OFFER

• Up to 35 days of holiday (including vacation and ROL), depending on the length of service, starting with 26 days
• Staff discount of up to 30%
• Mobile office with up to 20% of your total contracted hours (job and position permitting)
• 10 days/year of mobile office abroad in EU-countries (job and position permitting)
• Language courses
• Individual support on mental health & well-being (e.g. compatibility work and family life)
• Access to a corporate benefits platform with special offers and discounts
• Ticket restaurant
• Annual tax-free welfare allowance to spend on a wide range of products and services for you and your family (seniority requirements applicable)
• Employee Share Purchase Plan
• Social Day
• Discounted membership for selected sports platforms & gyms

Equal Opportunities

LuxExperience is an equal opportunities employer, we encourage people with a diverse range of backgrounds to apply. We recognize and celebrate the benefits that diversity brings to our workplace, our business and our customers. We welcome and will consider all applications regardless of race and nationality, religion, color, sex, pregnancy or related medical conditions, parental status, sexual orientation, gender identity, gender expression, age, status as an individual with a disability, or any other legally protected characteristics. If you require any reasonable adjustments to complete your application, please do not hesitate to advise us accordingly.

Experience Level: Mid-Senior level

Workplace Type: Hybrid