Senior Data Engineer – AI, Cyber Intelligence

Job Description:

• Designing and building the data backbone supporting AI-driven cybersecurity and compliance systems
• Collaborating alongside engineering and AI teams to enable scalable, production-ready data pipelines
• Creating robust, secure, and AI-ready data infrastructure capable of supporting advanced analytics and machine learning applications
• Developing and optimizing data lakes, warehouses, and data models
• Implementing ETL/ELT workflows, ensuring reliability and scalability
• Maintaining data quality, lineage, and observability across pipelines
• Enabling analytics and reporting through well-structured datasets
• Implementing secure, privacy-first data architecture

Requirements:

• Have 5+ years of experience in data engineering or related roles
• Have built production-grade data pipelines in cloud environments
• Are highly proficient in Python and SQL
• Have experience with tools such as Airflow, dbt, Kafka, Spark, or Databricks
• Have worked in cybersecurity, fintech, or regulated environments (preferred)
• Understand how data supports AI/ML workflows and advanced analytics
• Are comfortable working independently in a lean, fast-moving environment

Benefits:

• Opportunity to build the data foundation for an advanced AI-driven platform
• Flexible, remote working structure
• Strategic technical influence within a growing technology environment
• Collaboration with experienced professionals across AI, cybersecurity, and financial services