Principal Engineer - Cybersecurity Data & Analytics

HSBC; Greater London; On-site; GBP 120,000 - 160,000; Full time

Job summary

HSBC Technology is seeking a Principal Engineer to lead hands-on data platform, infrastructure and analytics engineering for Cybersecurity Science & Analytics. You will influence ~150 technical staff in CSA and the global cybersecurity function (~2,500) by delivering scalable cloud-native security data products and AI/ML enablement.

You will architect and implement security-focused data pipelines, ML workflows and real-time detection capabilities across Azure, Databricks, Spark, and related

Qualifications

• Strong software engineering fundamentals.
• Experience building and maintaining scalable cloud-based applications (Azure).
• Experience with big data technologies (Databricks, Spark).
• Ability to orchestrate and deliver complex change across teams and geographies.
• Strong stakeholder management and the ability to explain complex engineering topics clearly.
• Growth mindset and eagerness to learn in a fast-moving environment.

Responsibilities

• Build custom security applications, APIs and data-driven services.
• Lead end-to-end SDLC: requirements, development, testing, release and production support.
• Set and enforce engineering standards for reliability and secure-by-design.
• Mentor engineers and raise the bar for engineering excellence across teams.
• Drive major procedural and technological change in a global organisation.

Skills

Software engineering

Cloud-based apps

Databricks

Spark

Azure

Stakeholder management

Leadership

Growth mindset

Tools

Databricks

Spark

Azure

Job description

HSBC Technology is seeking a Principal Engineer to lead hands-on data platform, infrastructure and analytics engineering for Cybersecurity Science & Analytics. You will influence ~150 technical staff in CSA and the global cybersecurity function (~2,500) by delivering scalable cloud-native security data products and AI/ML enablement.

You will architect and implement security-focused data pipelines, ML workflows and real-time detection capabilities across Azure, Databricks, Spark, and related