Data Engineer
Core
Design, build, and maintain scalable data pipelines and platforms for security telemetry ingestion, AI/ML support, and enterprise security tooling integration.
Role type
Senior Data Engineer (Security & Cloud)
Builds
Group Security Data Platform, scalable data pipelines (batch/real-time), data models, and data products for analytics and detection.
Domain
Cyber Security Engineering, Cloud Infrastructure, Data Engineering
Required skills
AWS services (EC2, S3, Lambda, Athena, Kinesis, Redshift, Glue, EMR, DynamoDB, IAM, Step Functions, SQS, SNS, CloudWatch), Python framework development, PySpark/Spark, SQL, Terraform, Docker, Kubernetes, streaming data processing, event-driven architectures, data encryption (SSL/TLS, at rest/in transit), CI/CD, DevSecOps.
Preferred skills
Gen AI tools (Claude, GitHub Copilot, VS Code Co-pilot), complex automation engineering, distributed data processing.
Technologies
AWS, Python, PySpark, SQL, Terraform, Jenkins, Docker, Kubernetes, Kafka, Snowflake, DBT, ServiceNow SecOps.
Responsibilities
Drive development of scalable data solutions and pipelines; design and maintain data models and products; ensure data quality, reliability, and observability; integrate data solutions into enterprise platforms; contribute to DevOps practices including infrastructure-as-code; own and develop technical strategy for medium to complex engineering initiatives.
Seniority
Senior, hands-on IC with strategic ownership
