Senior Data Engineer — Cloud ETL/PySpark (Azure)

Women in Data®

Greater London

Hybrid

GBP 68.000 - 83.000

Vollzeit

vor 48 Stunden
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Hybrid working
Flexible hours
Civil service pension with 28.97%

Zusammenfassung

DWP Digital is seeking a Senior Data Engineer to design and deliver cloud-based data solutions on Azure, leveraging PySpark and Spark SQL. You will lead technical teams, shape data pipelines and ensure trusted data fuels informed decision-making across the organisation.

You will work across multiple locations with a hybrid working model, gain exposure to cutting-edge data platforms, and benefit from a competitive package and ongoing professional development.

Qualifikationen

  • Proven experience designing and delivering complex ETL/ELT pipelines.
  • Ability to communicate complex technical concepts to both technical and non-technical audiences.
  • Strong understanding of cloud and distributed data processing.
  • Experience leading the resolution of data, platform and pipeline issues.

Aufgaben

  • Design, build and enhance scalable ETL/ELT pipelines using Python and PySpark.
  • Lead teams through large-scale data and platform transformations and develop capability.
  • Collaborate with stakeholders to transform complex requirements into trusted datasets.
  • Drive automation, improve platform performance and ensure data governance.

Kenntnisse

ETL/ELT pipelines
Cloud data processing
Team leadership
Stakeholder communication

Tools

PySpark
Spark SQL
Python
Azure

Jobbeschreibung

DWP Digital is seeking a Senior Data Engineer to design and deliver cloud-based data solutions on Azure, leveraging PySpark and Spark SQL. You will lead technical teams, shape data pipelines and ensure trusted data fuels informed decision-making across the organisation.

You will work across multiple locations with a hybrid working model, gain exposure to cutting-edge data platforms, and benefit from a competitive package and ongoing professional development.

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