Senior Data Engineer

Senior Data Engineer – SC Cleared (Inside IR35)

Location: Reading (Hybrid – 4 days on site)

Contract: 6 months initially

Clearance: Active SC required (Sole UK Passport Holder)

We’re supporting a major Defence & Aerospace programme and are looking for an experienced Senior Data Engineer to help build new data capabilities in a secure, greenfield environment. This role suits someone who thrives in complex technical landscapes, enjoys shaping modern data services, and is comfortable working with high‐volume engineering or sensor datasets.

Key Responsibilities

  • Design, build and maintain secure, scalable data pipelines across acquisition, integration, storage, processing and analysis.
  • Develop automation, tooling and analytical capabilities to support data‐driven insights.
  • Evaluate and adopt emerging data technologies suitable for secure environments.
  • Collaborate with cross‐functional teams to define data, tooling and workflow requirements.
  • Work across cloud platforms and diverse operating systems in mission‐focused settings.
  • Support ML model development and data science workflows.
  • Lead small work packages and mentor junior engineers.
  • Contribute to architectural decisions and ensure high‐quality engineering outputs.

Essential Experience

  • Proven background as a Data Engineer with strong ownership of deliverables.
  • Strong Python and SQL skills.
  • Experience with SQL & NoSQL database architectures.
  • Hands‐on work with ETL/ELT pipelines and orchestration tools.
  • Cloud experience (AWS, Azure or GCP).
  • Exposure to Docker and API‐driven systems.
  • Strong problem‐solving skills and ability to work collaboratively.
  • Experience with aerospace, sensor, telemetry or other high‐volume engineering data is highly desirable.

Desirable

  • STEM/Data/AI‐related degree.
  • Experience influencing technical design decisions.
  • CI/CD exposure.
  • Familiarity with big data ecosystems (Spark, Hadoop, NiFi).
  • Knowledge of Kubernetes, IaC (Terraform/Ansible), or ML deployment patterns.

Job Details

Company
Experis UK
Location
United Kingdom
Hybrid / Remote Options
Posted