Data Engineer: ML & Data Fusion for Global Clients

wppmedia

Greater London

Híbrido

GBP 70.000 - 100.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Ventajas ofrecidas por este puesto de trabajo

Medical insurance
Retirement plans
Vision insurance
Dental insurance
Paid time off
Partner discounts
Mental health days

Descripción de la vacante

WPP Media is hiring a Data Engineer to join the Global Data Strategy & Insights team in London. You will work on data engineering, ML model productionisation, and data-driven insights for global clients.

The role involves building and maintaining Python packages, processing large data sets, and collaborating with data scientists to enable advanced analytics. You will be part of a hybrid team, with four days in the office and discussion of accommodations during interview process.

Formación

  • Strong analytical skills and statistical knowledge.
  • Competent with Python and data manipulation.
  • Familiarity with Git versioning and collaborative workflows.
  • Exposure to cloud computing and containerization (Docker).
  • Experience with SQL and statistical software (R/SPSS) is a plus.

Responsabilidades

  • Clean, process and re-format large data volumes.
  • Develop and maintain Python packages.
  • Ingest survey data into tools for insights, planning and reporting.
  • Collaborate with data scientists and engineers on ML projects.
  • Assist in developing new data products/tools.

Conocimientos

Python
Data Engineering
Git
Cloud computing
Docker
SQL
R/SPSS

Descripción del empleo

WPP Media is hiring a Data Engineer to join the Global Data Strategy & Insights team in London. You will work on data engineering, ML model productionisation, and data-driven insights for global clients.

The role involves building and maintaining Python packages, processing large data sets, and collaborating with data scientists to enable advanced analytics. You will be part of a hybrid team, with four days in the office and discussion of accommodations during interview process.

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