Farfetch

3 weeks ago

Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Build and maintain scalable, reliable data pipelines (ETLs) that power the data platform, integrating raw data from multiple sources. Evolve dimensional data models and schemas in the data warehouse to support self-service analytics, while working cross-functionally with teams handling large volumes of data. Help define and uphold standards and development practices, and advocate for quality and continuous improvement in the Data Engineering team.

Location: Porto

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Design and build scalable, reliable data pipelines (ETLs) for the data platform.
•Continuously evolve data models and schema designs in the data warehouse to support self-service needs.
•Collaborate cross-functionally with teams to create solutions for large volumes of data.
•Help define and maintain standards and development practices with the team.
•Advocate for quality and continuous improvement.

Pay and Benefits

Perks:Health InsuranceSabbaticalTrainingFlexible Benefits

Key Requirements

•Experience building and maintaining data pipelines using ETL tools such as SSIS, Talend, Airflow, or Composer.
•Experience working with data warehouses and data infrastructure including relational databases, Hadoop, Column Store, and BigQuery.
•Strong expertise in creating and evolving dimensional data models and data warehouse schema designs for analytics.
•Proficiency in SQL and experience with cloud environments such as GCP and Azure.
•2+ years of experience and working with BI reporting tools such as Tableau, PowerBI, or Looker; fluent in English.

Experience:2+ years

Skills:Analytical skillsProblem solvingQuality mindsetContinuous improvementCollaboration

Languages:English

Tech Stack:ETLSSISTalendAirflowComposerData WarehouseDimensional data modelsSchema designRelational databasesHadoopColumn StoreBigQueryGCPAzureSQLJavaPythonTableauPowerBILooker

Company Brief

Farfetch

Global online luxury fashion marketplace connecting consumers with boutiques and brands worldwide, offering curated designer clothing, accessories, and personalized shopping services through technology-driven retail solutions.

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: London, United Kingdom

Founded: 2007

Website LinkedIn

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Farfetch

3 weeks ago

Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: Porto

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Design and build scalable, reliable data pipelines (ETLs) for the data platform.
•Continuously evolve data models and schema designs in the data warehouse to support self-service needs.
•Collaborate cross-functionally with teams to create solutions for large volumes of data.
•Help define and maintain standards and development practices with the team.
•Advocate for quality and continuous improvement.

Pay and Benefits

Perks:Health InsuranceSabbaticalTrainingFlexible Benefits

Key Requirements

•Experience building and maintaining data pipelines using ETL tools such as SSIS, Talend, Airflow, or Composer.
•Experience working with data warehouses and data infrastructure including relational databases, Hadoop, Column Store, and BigQuery.
•Strong expertise in creating and evolving dimensional data models and data warehouse schema designs for analytics.
•Proficiency in SQL and experience with cloud environments such as GCP and Azure.
•2+ years of experience and working with BI reporting tools such as Tableau, PowerBI, or Looker; fluent in English.

Experience:2+ years

Skills:Analytical skillsProblem solvingQuality mindsetContinuous improvementCollaboration

Languages:English

Tech Stack:ETLSSISTalendAirflowComposerData WarehouseDimensional data modelsSchema designRelational databasesHadoopColumn StoreBigQueryGCPAzureSQLJavaPythonTableauPowerBILooker

Company Brief

Farfetch

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: London, United Kingdom

Founded: 2007

Website LinkedIn