Security‑Focused Data Engineer for Intelligence Platforms

Envitia Group; Gloucester; Hybrid; GBP 50,000 - 70,000; Full time

Benefits offered by this job

25 days of annual leave plus birthday off

Private Medical Insurance

Security Clearance Bonus up to £5,000

Wellness reimbursement for fitness

Life Assurance

Pension options

Perkbox membership for discounts

Paid volunteering days

Job summary

A national security solutions provider is looking for a Data Engineer to join their Security and Intelligence consulting team in Gloucester. The role involves designing and maintaining secure, scalable data platforms, engineering robust data architectures, and collaborating with multi-disciplinary teams for advanced analytics. Key responsibilities include developing data ingestion workflows and supporting machine learning applications. This position also requires enhanced security clearance and offers a range of benefits.

Qualifications

• Experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL.
• Hands‑on experience building and operating large‑scale data pipelines using big data and distributed processing technologies.
• Experience working with cloud‑native data platforms, with strong expertise in AWS.

Responsibilities

• Design, build and maintain secure, scalable data platforms capable of processing large volumes of operational data.
• Develop and operate robust data lakes within secure settings.
• Engineer high‑performance data ingestion pipelines for multiple sources.

Skills

Data engineering with Python, Java, or Scala

Building large-scale data pipelines

Designing and maintaining data lakes

Cloud-native platforms with AWS

DevSecOps environments knowledge

Stakeholder communication

Tools

Apache Spark

Hadoop

Docker

Kubernetes

Job description

A national security solutions provider is looking for a Data Engineer to join their Security and Intelligence consulting team in Gloucester. The role involves designing and maintaining secure, scalable data platforms, engineering robust data architectures, and collaborating with multi-disciplinary teams for advanced analytics. Key responsibilities include developing data ingestion workflows and supporting machine learning applications. This position also requires enhanced security clearance and offers a range of benefits.