Data developers Work, Jobs in Parbold, Lan (with Salaries)

Senior Security Data Engineer
Obsidian Security —Manchester
- £91,000 - £106,000 a year
- Hybrid work
- SQL
- Scripting
- APIs
Quick apply
5d
Lead Data & AI Platform Engineer
OrderYOYO —Manchester
- Remote
- Azure
- SQL
- Mentoring
Quick apply
Vice President, AI / Machine Learning Software Engineer
The Bank of New York Mellon Corporation —Manchester
- Full-time
- Computer Science
- Engineering
- Analysis skills
Software Development Team Lead - Regulatory Data
bet365 —Manchester
- Full-time
- Hybrid work
- SQL
- Driving
- APIs
Quick apply
Lead Analytics Engineer (6 Month FTC)
AJ Bell —Manchester
- Full-time
- Hybrid work
- SQL
- Employee assistance programme
- Gym membership
Quick apply
Lead Software Engineer, Content Ingestion
Muck Rack —Manchester
- £28,000 - £34,000 a year
- Remote
- Travel
- APIs
- Python
- Annual leave
- Employee assistance programme
Quick apply

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data developers jobs near parbold, lan

Senior Security Data Engineer

Obsidian Security -
Manchester

Quick apply

Job details

£91,000 - £106,000 a year
5 days ago

Qualifications

Authentication
SSO
Law
SQL
REST
Scripting
Data pipeline
APIs
SaaS
AI
Python

Full job description

Obsidian Security is the leading SaaS security platform, trusted by global enterprises like Snowflake, T-Mobile, and Algolia. We protect 200+ organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand, including many of the world's largest Fortune 1000 and Global 2000 companies.

Founded in 2017 and backed by top investors like Greylock, Obsidian was built to close a critical gap: securing SaaS apps where business happens—Microsoft 365, Salesforce, and hundreds more. The company does this by offering a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Obsidian was built by leaders who redefined endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, they're transforming how SaaS is secured.

With AI driving rapid SaaS growth and complexity, agentic AI tools gain privileged access to sensitive data through integrations, creating new risks most security tools miss. Obsidian uniquely detects anomalous OAuth token activity and manages integration risks. Major announcements are on the horizon. Recognizing that SaaS security needs to evolve, Obsidian enables growing organizations to start with a lightweight, prevention-focused browser extension and expand coverage over time.

With global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise ahead, Obsidian is scaling rapidly toward long-term growth and IPO readiness.

About the Role

We're hiring Security Data Engineers to join our Manchester team and work at the heart of our SaaS and AI security platform. This is a data engineering role first — you'll spend most of your time building and maintaining the data pipelines that power Obsidian's detection and analytics capabilities.

The role sits at an interesting intersection: the work is technically demanding data engineering, but the context is security. You don't need a security CV — you need to be a strong data engineer who is curious about how modern SaaS and AI platforms work, and what makes them risky.

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.

Quick apply

Refine Your Search

data developers jobs in parbold, lan

Senior Security Data Engineer

Lead Data & AI Platform Engineer

Vice President, AI / Machine Learning Software Engineer

Software Development Team Lead - Regulatory Data

Lead Analytics Engineer (6 Month FTC)

Lead Software Engineer, Content Ingestion

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