Data Engineer - IAM / Security Data

• Build and maintain ETL / ELT pipelines using Azure Data Factory, Databricks and SQL Server
• Develop and support data models, reporting layers and curated datasets for IAM / access related use cases
• Work with data linked to users, roles, entitlements, access controls, privileged accounts and audit requirements
• Automate ingestion, transformation and validation of data from enterprise systems
• Support governance, lineage, quality controls and operational monitoring
• Work closely with IAM, security, infrastructure and data stakeholders in an agile environment

• Strong experience as a Data Engineer in Azure environments
• Strong hands-on experience with:

• Azure Data Factory
• Databricks / PySpark
• SQL Server / T-SQL

• Experience building production-grade data pipelines and data models
• Exposure to identity / access / security data
• Understanding of areas such as:

• Active Directory / Entra ID
• RBAC
• access control
• privileged access
• audit / compliance / governance

• Experience in banking, financial services, insurance or another regulated environment
• Strong communication skills and ability to work across technical and non-technical teams

Nice to have

• Experience with IAM / PAM tooling such as CyberArk, SailPoint, BeyondTrust or similar
• Exposure to data governance tooling, lineage, metadata or control frameworks
• Experience supporting production issues / operational processes

Why apply

This is a strong opportunity to work on a genuinely interesting programme where data engineer meets identity and security. You'll be solving real delivery problems, not just building generic pipelines.

If you've worked on Azure data platforms and have touched IAM / access / security-related datasets, this will be a strong fit.