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# Data Platform Engineer - RBAC Security & Data Governance

- **Company:** Reed
- **Location:** London, UK
- **Contract:** Temporary contract
- **Skills:** Airflow, Big Data, BigQuery, Continuous Integration, Data Governance, Data Infrastructure, Identity and Access Management, Python (Programming Language), Metadata, Meta-Data Management, Role-Based Access Control, Tableau (Software), Google Cloud, Data Classification, System Availability, Technical Debt, Kubernetes, Infrastructure Automation Frameworks, Data Lineage, Data Analytics, Cloud Migration, Terraform
- **Published:** October 12, 2026
- **Apply:** https://www.reed.co.uk/jobs/data-platform-engineer-rbac-security-data-governance/57450471

## About the Role

* Strong hands-on experience with Google Cloud Platform (GCP), including BigQuery, GCS, IAM, and Kubernetes.
 * Development and automation expertise using Python, Airflow, dbt, and CI/CD pipelines.
 * Experience with Terraform and infrastructure-as-code practices.
 * Proven experience implementing RBAC, IAM, PAM, and access governance controls.
 * Strong understanding of data governance, metadata management, and data classification frameworks.
 * Experience with tools such as Alation, Fivetran, and Tableau.
 * Demonstrable experience improving security controls and automating processes.
 * Excellent stakeholder management and communication skills.
 * Experience operating within complex enterprise or highly regulated environments.

Desirable Experience

 * Cloud transformation and data governance programme delivery.
 * Large-scale data platforms and analytics ecosystems.
 * Experience within media, technology, telecommunications, financial services, or similarly data-driven environments.
 * Previous consultancy experience with organisations such as Accenture, Deloitte, EY, KPMG, Capgemini, Thoughtworks, BJSS, or Publicis Sapient.

## Description

Access Management & RBAC

 * Design, implement, and optimise Role-Based Access Control (RBAC) across the data platform.
 * Support enterprise Identity & Access Management (IAM) initiatives.
 * Automate access provisioning, reviews, and governance processes.
 * Ensure least-privilege access principles are embedded across systems.

Data Governance & Classification

 * Define and implement data classification standards and governance controls.
 * Embed governance requirements into new data products and integrations.
 * Improve metadata quality, ownership, lineage, and compliance reporting.
 * Drive adoption of data governance best practice across technical and business teams.

Metadata & Data Catalogue

 * Enhance metadata visibility and discoverability across cloud platforms.
 * Improve integration between BigQuery, Alation, Fivetran, and related tools.
 * Support the development of data lineage and catalogue capabilities.

Security & Platform Optimisation

 * Identify, assess, and remediate platform vulnerabilities.
 * Develop security metrics, dashboards, and reporting.
 * Improve platform reliability, resilience, and operational efficiency.
 * Reduce technical debt through automation and continuous improvement initiatives.