Data & AI Compliance Analytics Engineer

• Automated Monitoring & Risk Detection

  • Translate abstract regulatory requirements and internal policies into technical rules, SQL queries, and statistical dashboards.

  • Develop and deploy automated detection algorithms to flag anomalies, policy violations, and compliance risks in near real-time.

  • Continuously tune logic and thresholds to balance risk coverage while minimizing false positives for operational teams.

• Data Pipeline Architecture & Reporting

  • Design and build reliable data pipelines (ETL/ELT) specifically for compliance reporting, ensuring high availability and data consistency.

  • Create self-service dashboards and visualizations that provide Legal and Compliance teams with a clear view of the relevant risk posture.

  • Maintain strict data lineage documentation to ensure all reporting is traceable and audit-ready.

• Data Quality & Governance

  • Act as an owner of compliance data used for automated monitoring and visualization; implement automated testing and validation frameworks to ensure the accuracy and integrity of data used for regulatory reporting.

  • Collaborate with Data Governance teams to classify sensitive data and ensure appropriate access controls and retention policies are defined.

•  Audit Support & Forensics

  • Serve as the primary technical point of contact during internal and external audits, providing query logic, data samples, and evidence of system controls.

  • Perform ad-hoc data forensics to support investigations into potential incidents or irregular activities.

• Cross-Functional Collaboration

  • Work with cross-functional teams, including engineering, and legal departments, to ensure data-driven compliance strategies are implemented effectively.

  • Bridge the gap between non-technical stakeholders and engineering teams, translating business risks into technical data requirements.

Role Qualifications and Requirements

• 6+ years in Software / Data Engineering

• 2+ years of successful experience with Collibra products or alternate catalogue (Alation,Informatica), doing integrations is a huge plus

• Self-driven learner, capable to proactively connect with many other teams to understand the user flows and technical integrations

• High level of ownership and responsibility

• Attention to detail

• Preferably a university degree in Mathematics or Software Engineering.

  • Excellent communication: written and spoken (with English as the main language across the organisation).