Data Security Analyst

E-Solutions; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

E-Solutions in London seeks an experienced Senior Data Engineer to design and deliver scalable security data platforms, pipelines and integrations for analytics, ML and knowledge graphs. You will build batch and streaming pipelines for security telemetry, develop ETL/ELT processes and APIs, and integrate ServiceNow and Dynatrace within enterprise data ecosystems.

Collaborating with security analysts, data scientists and platform teams, you will ensure data quality, governance, observability and

Qualifications

• Minimum 8 years of relevant professional experience.
• Strong data engineering skills with Python, SQL and modern data platforms.
• Experience with ETL/ELT, APIs, event streaming and cloud data engineering.
• Knowledge of ML engineering and feature/data pipeline requirements.
• Familiarity with Security Knowledge Graph concepts.
• Experience with ServiceNow, Dynatrace or comparable ITSM/observability integration.
• Understanding of security telemetry, threat intelligence and data governance.

Responsibilities

• Build scalable batch and streaming pipelines for security telemetry and enterprise data.
• Develop ETL/ELT processes, data models, APIs and integration services.
• Integrate platforms such as ServiceNow, Dynatrace and security tooling into enterprise data ecosystems.
• Build and maintain Security Knowledge Graph data pipelines and graph models.
• Prepare trusted datasets and features for analytics and machine learning use cases.
• Implement data quality, lineage, governance, access control and observability.
• Optimize data architectures for performance, resilience, scalability and cost.
• Collaborate with security analysts, data scientists, platform teams and architects.

Skills

Python

SQL

Data platforms

ETL/ELT

Event streaming

Cloud data engineering

Security telemetry

Knowledge Graphs

ServiceNow/Dynatrace integration

Education

Bachelor's degree in cyber security, computer science or related field

Engineering/Data Science related discipline

Cloud data engineering certification desirable

Databricks/Snowflake certification advantageous

Security or cloud security certification desirable

Job description

Design and deliver scalable security data platforms, pipelines and integrations. Enable analytics, machine learning and knowledge graph use cases by providing reliable, governed and timely security data.

Key responsibilities

• Build scalable batch and streaming pipelines for security telemetry and enterprise data.
• Develop ETL/ELT processes, data models, APIs and integration services.
• Integrate platforms such as ServiceNow, Dynatrace and security tooling into enterprise data ecosystems.
• Build and maintain Security Knowledge Graph data pipelines and graph models.
• Prepare trusted datasets and features for analytics and machine learning use cases.
• Implement data quality, lineage, governance, access control and observability.
• Optimize data architectures for performance, resilience, scalability and cost.
• Collaborate with security analysts, data scientists, platform teams and architects.

Essential experience and skills

• Minimum 8 years of relevant professional experience, including substantial hands-on experience in the core specialisms of this role.
• Strong data engineering experience with Python, SQL and modern data platforms.
• ETL/ELT, APIs, event streaming and cloud data engineering.
• Knowledge of ML engineering and feature/data pipeline requirements.
• Graph databases and Security Knowledge Graph concepts.
• ServiceNow, Dynatrace or comparable ITSM/observability integration experience.
• Understanding of security telemetry, threat intelligence and data governance.

Qualifications and certifications

• Bachelor's degree in cyber security, computer science, engineering, data science or a related discipline, or equivalent professional experience.
• Professional cloud data engineering certification is desirable.
• Databricks, Snowflake or equivalent data platform certification is advantageous.
• Security or cloud security certification is desirable.

Core behaviours

• Strong ownership, analytical thinking and delivery focus.
• Ability to collaborate across UK and offshore, multidisciplinary teams.
• Clear communication with both technical and non-technical stakeholders.
• Commitment to secure, ethical and compliant engineering practices.
• Curiosity and continuous learning in a rapidly evolving threat and technology landscape