Remote SC-Cleared Data Engineer (6-Month Contract)

Fruition Group

United Kingdom

Remote

GBP 92,000 - 138,000

Full time

35 hours ago
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Job summary

Fruition Group is seeking a Contract Data Engineer (SC Cleared) to design, build and maintain scalable data pipelines on AWS for a government programme. This 6‑month remote UK engagement offers a day rate that is competitive and outside IR35.

You will collaborate with data scientists on ML workloads, orchestrate workflows with Airflow or Prefect, and write production‑grade Python and SQL while deploying via Kubernetes and Terraform in a secure environment.

Qualifications

  • Active SC Clearance required
  • British citizenship required due to government programme
  • Strong commercial experience as a Data Engineer
  • Advanced Python and SQL
  • Experience with Airflow or Prefect
  • Hands-on AWS data services experience (S3, Glue, Lambda, Redshift, Athena)
  • Experience supporting ML workloads (PyTorch / TensorFlow / Scikit-learn) desirable
  • MLflow desirable and familiarity with Kubernetes or Terraform beneficial

Responsibilities

  • Design, build and maintain scalable data pipelines on AWS
  • Develop and orchestrate workflows using Airflow (or Prefect)
  • Ingest, transform and model data for analytics and ML
  • Collaborate with data scientists to support ML and computer vision pipelines
  • Write clean, tested production-grade Python and SQL
  • Work with DevOps on deploying pipelines into Kubernetes and Terraform environments
  • Follow secure engineering practices suitable for a government programme

Skills

SC clearance
Data engineering
Python
SQL
Cloud data pipelines

Tools

Airflow
Prefect
AWS data services
PyTorch
TensorFlow
Scikit-learn
MLflow
Kubernetes
Terraform

Job description

Fruition Group is seeking a Contract Data Engineer (SC Cleared) to design, build and maintain scalable data pipelines on AWS for a government programme. This 6‑month remote UK engagement offers a day rate that is competitive and outside IR35.

You will collaborate with data scientists on ML workloads, orchestrate workflows with Airflow or Prefect, and write production‑grade Python and SQL while deploying via Kubernetes and Terraform in a secure environment.

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