Data Engineer: AI‑Led Cloud Data Platform, London

Viasat

Greater London

On-site

GBP 65,000 - 100,000

Full time

14 days+

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Job summary

Viasat in London is seeking an experienced Data Engineer to design, build, and evolve our cloud-based data platforms. You will work on BigQuery-like environments, data pipelines, and analytics tooling, partnering with Corporate Data & Analytics, IT, and the business.

This site-based role involves hands-on engineering, rapid prototyping of data products, and a focus on AI-led development. You will help shape the data ecosystem, deliver high-value capabilities, and support reliability across

Qualifications

  • Experience designing and implementing modern cloud-based data platforms.
  • Strong SQL and Python engineering skills.
  • Experience with ELT/ETL using dbt, Airbyte, Prefect or equivalents.
  • Experience with AI-assisted coding and automation.
  • Experience with monitoring tools and ITSM platforms.
  • Ability to translate business requirements into data solutions.
  • Willingness to collaborate across teams.

Responsibilities

  • Contribute to technical discovery, prototyping, and solution design for new data products.
  • Design scalable data pipelines and data services using cloud-native patterns.
  • Collaborate with engineers and stakeholders to evaluate approaches.
  • Support platform reliability and incident resolution.
  • Produce architecture diagrams and engineering documentation.

Skills

SQL
Python
Data modeling
Cloud platforms
AI-assisted coding
ETL/ELT
SRE concepts
Problem solving

Tools

dbt
Airbyte
Prefect
BigQuery
Terraform
GitHub
YAML

Job description

Viasat in London is seeking an experienced Data Engineer to design, build, and evolve our cloud-based data platforms. You will work on BigQuery-like environments, data pipelines, and analytics tooling, partnering with Corporate Data & Analytics, IT, and the business.

This site-based role involves hands-on engineering, rapid prototyping of data products, and a focus on AI-led development. You will help shape the data ecosystem, deliver high-value capabilities, and support reliability across

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