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Data Security Analyst

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Onsite

Data Security Analyst

PURVIEW

Data Security Analyst

Skills

Google Cloud PlatformMongoDBDockerPythonKafkaJenkinsGrafanaSplunkData AnalysisAWSAnsibleKubernetesTerraformAzure

1 month ago

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Important information


Contract type:

Freelance / Contract

Location:

Glasgow, UK

Work mode:

Onsite

Published on:

17 September 2026

What they need


Role: Data Security Specialist

Location: Glasgow, UK - Inside IR35

Job Type: Contract (3 days a week Onsite)

Key Responsibilities:

  • Build and operate DSPM solutions across structured and unstructured data environments.
  • Discover, inventory, classify, and assess sensitive data across databases, data lakes, warehouses, object stores, file platforms, SaaS, and cloud services.
  • Develop Python automation for data-source onboarding, scanning, metadata enrichment, risk scoring, evidence capture, and remediation workflows.
  • Integrate DSPM platforms with IAM, data catalogs, CMDB, SIEM/SOAR, ticketing, incident response, and reporting systems.
  • Correlate data sensitivity with ownership, permissions, identity, location, lineage, configuration, exposure, and activity.
  • Configure classification policies, risk analytics, dashboards, alerts, and workflows.
  • Improve classification accuracy, coverage, data freshness, connector health, and remediation performance.
  • Support controls including least privilege, Zero Trust, encryption, masking, tokenisation, retention, and secure deletion.
  • Troubleshoot integrations and distributed systems across APIs, networks, identities, cloud services, and data platforms.
  • Produce technical designs, operational documentation, control evidence, metrics, and risk communications.

Desirable Skills:

  • Microsoft Purview, BigID, Varonis, Cyera, Security, or similar DSPM platforms.
  • Azure, AWS, or Google Cloud data and security services.
  • Databases, data warehouses, data lakes, lake houses, MongoDB, or object storage.
  • Kubernetes, Docker, Terraform, Ansible, Kafka, Jenkins, Grafana, Loki, or Splunk.
  • SIEM/SOAR, data catalogs, CMDB, data lineage, DLP, cryptography, masking, and retention.
  • NIST, Zero Trust, cloud security frameworks, or regulated environments.

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