Hybrid BI Data Engineer – Databricks, AWS, Power BI

YOOX S.p.A.

Emilia-Romagna

Hybrid

EUR 55,000 - 75,000

Full time

5 days ago
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Benefits offered by this job

Staff discount
Mobile office benefits
Employee Share Purchase Plan
Tax-free welfare allowance

Job summary

YOOX S.p.A. in Bologna, Italy, is seeking a BI Data Engineer to design and maintain ETL/ELT pipelines using Databricks, Python, and PySpark. You will ingest and transform data from AWS sources (S3, Glue, Lambda) and build Tabular Cubes to enable fast analytics.

You will collaborate with product owners, analysts, and engineers to translate business needs into scalable data models, dashboards, and BI solutions within an Agile framework. Fluency in English is expected, and hybrid work is available.

Qualifications

  • Degree in Computer Science, Engineering, or related field.
  • Proven experience as Data Engineer/BI Developer in cloud environments.
  • Strong hands-on with Databricks, SQL, Python, PySpark.

Responsibilities

  • Design, develop, and maintain ETL/ELT pipelines using Databricks (Python, SQL, PySpark).
  • Manage data ingestion and transformation from multiple sources in 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 requirements into scalable data models and dashboards.
  • Contribute to version control and collaborative development using Git/Bitbucket.
  • Monitor and optimize data workflows for reliability, scalability, and BI best practices.
  • Support end-to-end delivery from data extraction to visualization in an Agile environment (2-week sprints).

Skills

Databricks
SQL
Python
PySpark
AWS data services
Data modeling
Tabular Cubes
Power BI
Git/Bitbucket
CI/CD
Jira/Scrum/Agile
English

Education

Degree in Computer Science/Engineering or related field

Tools

Power BI
SSAS

Job description

YOOX S.p.A. in Bologna, Italy, is seeking a BI Data Engineer to design and maintain ETL/ELT pipelines using Databricks, Python, and PySpark. You will ingest and transform data from AWS sources (S3, Glue, Lambda) and build Tabular Cubes to enable fast analytics.

You will collaborate with product owners, analysts, and engineers to translate business needs into scalable data models, dashboards, and BI solutions within an Agile framework. Fluency in English is expected, and hybrid work is available.

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