Senior Security Data Engineer

What you'll do Build and maintain data retrieval integrations across major SaaS and AI platforms — connecting to APIs, handling auth flows, and ensuring reliable telemetry ingestion. Design and develop dbt models in SQL on Clickhouse and Databricks, transforming raw platform data into clean, structured datasets ready for analysis. Build rule-based checks to identify risky configurations and unusual activity patterns across SaaS and AI platforms — translating security insight into logic. Develop a working understanding of how SaaS and AI platforms are structured and where security risks emerge, to inform what data we collect and what we look for. Debug data quality and detection issues in customer environments, working closely with the wider engineering and customer success teams.=

What we're looking for

Requirements 4+ years of hands-on data engineering experience, including dbt and SQL. Strong SQL — you're comfortable writing complex data models and transformations from scratch. Experience building or maintaining data pipelines that process high-volume event or log data. Comfortable working with REST APIs and integrating data from third-party platforms. Python proficiency for scripting, data manipulation, and pipeline logic. Some exposure to security concepts — enough to understand what 'risky' looks like in a SaaS or cloud context. This can come from working in a security company, cloud engineering, compliance, or your own interest.

Nice to have Hands-on experience with Clickhouse or Databricks. Familiarity with SaaS platforms such as Google Workspace, Microsoft 365, Salesforce, or Okta — from any angle (admin, engineering, or security). Understanding of identity and authentication concepts: OAuth, SAML, SSO, and directory services. Experience working with security telemetry — audit logs, API event streams, or similar. Interest in AI/LLM platforms and how they introduce new security considerations.

Why join us Work on a genuinely novel problem — securing SaaS and AI platforms is one of the fastest-moving areas in enterprise security. Become a domain expert by learning from the industry's leading SaaS security team. Ideas move fast here — you'll go from concept to customer impact in weeks, not quarters. Work for a Silicon Valley-headquartered company without leaving Manchester — hybrid working, with a team and product that operates at the highest level globally. Join a team that values engineering craft and gives you the space to do the work properly. Employee

Benefits Our competitive

benefits packages are designed to support our employees' well-being, both at work and at home. Our US based employees enjoy: Competitive

compensation with equity and 401k Comprehensive healthcare with dental and vision coverage Flexible paid time off and paid holiday time off 12 weeks of new parent or family leave Personal and professional development resources For more details on our US

benefits, or for information on our international

benefits, please see here . Pay Transparancy Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location, as well as the knowledge, skills and experience of the candidate. In addition to a competitive base salary, this position is eligible for equity awards and may be eligible for sales commission or incentive

compensation based on

the role or function within the company. At Obsidian, we are proud to be an equal-opportunity employer. We value diversity and hire for talent, passion, and compassion. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization. If you have a need that requires accommodation, please contact [email protected] Information collected and processed as part of any job applications you choose to submit is subject to Obsidian’s Applicant Privacy Policy . Base Salary Range £91,000 — £106,000 GBP

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