Senior Data & Security Engineer — Public Sector Impact

Made Tech Limited

West of England

On-site

GBP 55,000 - 85,000

Full time

4 days ago
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Benefits offered by this job

Impactful Work
Multidisciplinary Environment
Structured Development
External Engagement

Job summary

Made Tech is seeking a Senior Data and Security Engineer to join the Cyber Practice. This role spans security engineering, data management, and operational compliance, bridging technical delivery with government regulatory requirements.

You will work in a SOC environment, develop SIEM rules, and optimise high‑volume data pipelines while ensuring secure, compliant data flows across Cribl, Kinesis and Splunk.

Qualifications

  • Cloud platforms: AWS, Azure, GCP experience.
  • Splunk (SPL) rule support experience.
  • Cribl, Kinesis, S3, SQS knowledge.
  • Zero Trust and secrets management (KMS) understanding.

Responsibilities

  • Pipeline optimisation & enrichment of logs on Cribl cloud.
  • End-to-end flow of AWS telemetry into central log architecture.
  • Cribl Stream processing for parsing, routing, masking and filtering logs.
  • Create and optimise Splunk data models and field extractions (OCSF).
  • Diagnose and resolve ingestion bottlenecks (SQS, S3, JSON).
  • Summarise NetFlow data and trim unnecessary payloads.
  • Manage streaming tech (Kinesis) and storage (S3, Security Lake).
  • Data tiering: Hot, Warm, Cold for cost efficiency.
  • Ensure data in transit/rest is encrypted (KMS, TLS).
  • Develop/detune detection rules; monitor rule quality and trust.

Skills

Communication
Delivery focus
Credibility with clients
Security mindset

Tools

Cribl
Kinesis
S3
SQS
Splunk
OCSF
KMS
AWS
Azure
GCP

Job description

Made Tech is seeking a Senior Data and Security Engineer to join the Cyber Practice. This role spans security engineering, data management, and operational compliance, bridging technical delivery with government regulatory requirements.

You will work in a SOC environment, develop SIEM rules, and optimise high‑volume data pipelines while ensuring secure, compliant data flows across Cribl, Kinesis and Splunk.

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