Data Engineer: AWS Cloud & AI Tools (London Hybrid)

Datatech Analytics

Greater London

Híbrido

GBP 65.000 - 90.000

Tempo integral

há 5 horas
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Resumo da vaga

Datatech Analytics in London is seeking a Data Engineer to help build and evolve a cloud-based AWS data platform. You will work with substantial volumes of real-world consumer data and take ownership of architecture, design, and end-to-end delivery.

The role emphasizes hands-on cloud engineering, Python and SQL expertise, Spark/PySpark, and an interest in AI-assisted development to improve productivity and create scalable, reliable data pipelines.

Qualificações

  • Commercial experience with AWS, Python and SQL.
  • Hands-on experience with Spark / PySpark.
  • Understanding of data engineering principles and building reliable, scalable pipelines.
  • Experience working with cloud-based data platforms.
  • Comfort with ownership and working across a varied technical environment.
  • Interest in AI-assisted development and modern engineering practices.

Responsabilidades

  • Build modern cloud-based data platform components on AWS.
  • Engineer at scale with large volumes of behavioural and consumer data.
  • Take ownership of architecture, decisions and end-to-end delivery.
  • Collaborate across projects and technologies within the team.
  • Leverage AI-assisted development tools to accelerate work and productivity.
  • Contribute to a close-knit engineering culture and continuous improvement.

Conhecimentos

AWS
Python
SQL
Spark/PySpark
Data pipelines
Cloud platforms
Ownership
AI-assisted development

Descrição da vaga

Datatech Analytics in London is seeking a Data Engineer to help build and evolve a cloud-based AWS data platform. You will work with substantial volumes of real-world consumer data and take ownership of architecture, design, and end-to-end delivery.

The role emphasizes hands-on cloud engineering, Python and SQL expertise, Spark/PySpark, and an interest in AI-assisted development to improve productivity and create scalable, reliable data pipelines.

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