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Data Engineer

Skills

aianalyticsawsazureci cdcloudcloud nativedata engineeringdata modelingdevsecopsdockerfeature engineeringinfrastructure as codekubernetesmachine learningmetadata managementpythonsparksqlPythonAWSAzureDockerKubernetes

Description

Title: Data Engineer

Location: London, Cheltenham, Manchester or Surrey
Salary: £55,000 - £85,000 plus DV bonus
Clearance: Active eDV required
Level: Mid/Senior

Tired of keeping pipelines alive? Move into a role where you own the architecture.

A defence and national security consultancy is looking for a senior engineer to own the design of its cloud-native data platforms. The customers are in Defence, Government and National Security, and the datasets are big, messy and multi-source.

You'll work closely with data scientists, software engineers and architects, and directly with the client, so you always know what the platform is for.

What you'll be working on

  • Data platforms and pipelines, batch and streaming, built for scale
  • Data lakes and cloud-native architecture on AWS or Azure
  • Ingesting and integrating data from lots of different sources
  • Data foundations for analytics, AI and ML workloads
  • DevSecOps and Infrastructure as Code
  • Python, SQL, Spark, Docker, Kubernetes and CI/CD

Why it's worth a look

  • Real influence over how platforms get designed and built
  • Close to the customer and the decision-makers
  • Exposure to AI/ML workloads, not just moving data from A to B

Must have: commercial data engineering experience, strong Python and SQL, hands-on Spark, and cloud-native platform experience on AWS or Azure. Comfortable with Docker, Kubernetes and CI/CD.

Nice to have: data modelling and metadata management, AI/ML pipelines and feature engineering.

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