Data Engineer: Build Scalable ETL Pipelines & Data Models

Farfetch

Bordeaux

Sur place

EUR 45 000 - 65 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Health insurance for the whole family
Flexible working environment
Extra days off
Training opportunities

Résumé du poste

Farfetch is looking for a Data Engineer to design and build effective data pipelines and enhance data models for their systems. This role will involve collaborating with multiple teams to improve data reliability and analytics capabilities.

The ideal candidate will have a solid background in data engineering, experience with ETL tools, and programming skills in Java or Python. Farfetch offers a dynamic work environment and numerous benefits including health insurance and training opportunities.

Qualifications

  • Experience building and maintaining data pipelines in ETL tools.
  • Proficient in SQL and programming languages like Java or Python.
  • 2+ years of experience with BI reporting tools.

Responsabilités

  • Design and build scalable data pipelines for our data platform.
  • Evolve data models and schema design of our Data Warehouse.
  • Work with teams to create solutions dealing with large data.

Connaissances

Building and maintaining data pipelines
Data Warehouse experience
Dimensional data models
Cloud environments knowledge
SQL expertise
Programming in Java or Python
BI reporting tools experience
Continuous delivery principles

Outils

ETL tools (SSIS, Talend, Airflow)
BI reporting tool (Tableau, PowerBI, Looker)

Description du poste

Farfetch is looking for a Data Engineer to design and build effective data pipelines and enhance data models for their systems. This role will involve collaborating with multiple teams to improve data reliability and analytics capabilities.

The ideal candidate will have a solid background in data engineering, experience with ETL tools, and programming skills in Java or Python. Farfetch offers a dynamic work environment and numerous benefits including health insurance and training opportunities.

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