This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
We are seeking a DataOps Engineer to implement, operate, and continuously improve security data onboarding, transformation, and validation pipelines within the Security Monitoring & Analytics (SMA) ecosystem. This role plays a critical part in ensuring data quality, integrity, lineage, and compliance with governance standards. The individual will collaborate closely with cross-functional teams, including onboarding engineers, Site Reliability Engineering (SRE), DevOps, architects, and security operations, to maintain reliable end-to-end data flows and support data-driven cyber defence capabilities.
Job Responsibility
Design, onboard, transform, validate, and deliver telemetry, log, and event data into SMA platforms using scalable and reusable ingestion patterns
Monitor and maintain data quality, ensuring accuracy, reliability, completeness, and detection of anomalies such as event loss or unexpected log volumes
Configure, troubleshoot, and optimise data ingestion pipelines and tools to ensure efficiency and performance
Document data schemas, mappings, transformations, and end-to-end data flow processes in alignment with governance standards
Implement and maintain data lineage, ownership tagging, and metadata to support governance controls and regulatory requirements
Support incident response by analysing data-related issues, performing root cause analysis, and driving remediation and continuous improvement initiatives
Requirements
Experienced in building and managing data pipelines for ingestion, transformation, and validation within a DataOps or data engineering environment
Proficient in scripting languages such as Python and Bash, with the ability to automate workflows and operational checks
Skilled in implementing automated data quality validation and monitoring mechanisms to ensure reliable data delivery
Comfortable working in a cyber security context, with an understanding of reliability expectations and support for production issue resolution
Effective at collaborating with diverse stakeholders across engineering, operational, and business teams
Nice to have
Familiarity (desirable) with cloud platforms (e.g., GCP), data solutions (e.g., Elastic Stack), and visualisation tools (e.g., Kibana)
Exposure (desirable) to DevSecOps or IT operations environments supporting security data platforms
What we offer
Opportunity to work in a global cyber security function supporting critical 24x7 defence operations
Exposure to large-scale data ecosystems and advanced analytics platforms
A collaborative environment that encourages continuous improvement and automation
Engagement with cross-functional teams across engineering, security, and operations domains
A role that contributes directly to strengthening organisational security and data governance