Zego_
As of 30 October 2026, Zego has 40 open roles (13 new in 30 days), its data & ai team is hiring most, and its postings name Python, Snowflake and SQL as the tools the team works in.
As of 30 October 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
- Headquarters
- London, England, United Kingdom
- Employees
- 201-500 employees (linkedin)
- Sells to
- new drivers, sole traders, growing businesses
- Certifications on site
- Site languages
- EN
- Career system
- Ashby
Zego in one screen
Read from zego.com: what the company does, the customers it names, the buyers we can actually see, and the companies that sell the same thing.
Zego is a motor insurance provider that offers app-based telematics car insurance and policies for delivery, private hire, and business use. Its offerings include car, van, scooter, electric and autonomous vehicle insurance, plus learner driver cover. It serves new drivers, sole traders, contractors, tradespeople and growing businesses, and operates in the UK and Ireland.
Named on the site: new drivers, sole traders, growing businesses, contractors and tradespeople, independent drivers, delivery drivers, private hire drivers.
Nearest companies by what they do, sell and whom they serve, 51+ employees. 591 scored.
What Zego says it runs
Tools named in the company's own postings as the team's systems, with the sentence that says so. What the website and DNS show is listed separately.
• Design, build and own the Python microservices that power our insurance platform: secure, observable and built for scale• Build and maintain robust data models and exposures in dbt, Snowflake and Looker - using AI-assisted development to spend less time on boilerplate and more on specifying intent, reviewing and refining• Reporting & Dashboard Ownership: Build and maintain robust reports and dashboards (using SQL, Looker, Excel, etc.) to assess and track KPIs over time.experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform (experience with similar technologies is essential).• Reporting & Dashboard Ownership: Build and maintain robust reports and dashboards (using SQL, Looker, Excel, etc.) to assess and track KPIs over time.• Build SRE capability on Zego's AI platform, extending our MCP servers and agents, and making the estate legible to them through machine readable runbooks, structured telemetry and diagnostics an agent can act on.experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform (experience with similar technologies is essential).• Deep hands-on experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform (experience with similar technologiesexperience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform (experience with similar technologies is essential).• Deep hands-on experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform (experience with similar technologiesexperience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform (experience with similar technologies is essential).experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform (experience with similar technologies is essential).A proven track record taking data science or data engineering projects into production, with strong Python and SQL (we use Snowflake) and the scientific Python stack: Polars, Pandas, NumPy, SciPy and scikit-learn.A proven track record taking data science or data engineering projects into production, with strong Python and SQL (we use Snowflake) and the scientific Python stack: Polars, Pandas, NumPy, SciPy and scikit-learn.Vendors whose code loads on zego.com or whose records sit in its DNS. Page plumbing (libraries, fonts, consent banners) is left out.
40 open roles, 43 opened in 90 days
Read hourly from the company's career system. Open roles and new roles in the last 30 days, by team. Companies hiring data & ai in United Kingdom →
| open · new 30 d | |
|---|---|
| Data & AI | 11 · 1 |
| Product, program & project management | 11 · 0 |
| Finance & accounting | 6 · 5 |
| Software engineering | 6 · 1 |
| Customer service & success | 1 · 1 |
| Human resources | 1 · 1 |
| Legal, compliance & risk | 1 · 1 |
| Sales | 1 · 1 |
What is changing, read from the postings
Intents are events the employer states about itself, each with the sentence and the posting it came from.
You'll make sure we operate effectively as an insurer, bring more of our regulatory and project delivery in-house, and help us get ready for the bigger initiatives and partnerships ahead.Sales, marketing and IT leaders by function. Add Zego to a monitor and get a webhook when a role opens, a tool appears or a signal is read.
Free plan: 1,000 records, no card. The first 20 are above; e-mails are verified at the mail server when you open them.
Companies like Zego
Nearest by what they do, what they sell and whom they sell to, 51+ employees. 6 of 591 scored.
From the company's own website
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Zego (London, United Kingdom, 201-500 employees) has 40 open roles, 13 new in 30 days, and names 14 tools in its postings. (Breaknorm, 30 October 2026, https://breaknorm.co/company/zego.com)
Read from the source, not self-reported
Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →
- ProfileBuilt from zego.com: summary, offerings, customers, certifications and contact points are extracted from its pages, with a confidence score per field.
- HiringRead hourly from the company's Ashby career site; reposts collapse into one record.
- Tech stackTools the employer's own text names as the team's systems, with the quote; website scripts counted separately.
- HeadcountLinkedIn where known, otherwise estimated from the site.
Zego: questions
Does Zego use Python?
Yes, by the company's own words: 17 postings name it, first seen 2026-09-14, in the data & ai team.
Is Zego hiring?
40 open roles as of 30 October 2026, 13 opened in the last 30 days and 3 closed. The largest team hiring is data & ai.
Where does this profile come from?
From zego.com itself: we crawled it on 2026-08-06, built the profile on 2026-08-16, and read its career site (Ashby) hourly since. Headcount is from LinkedIn.
Who should I write to at Zego?
The people are behind the login: decision makers by function, verified at the mail server when you open them. 5 public role addresses from the site are there too.
Get this company your way
The same data as a search, over MCP and the API, as bulk files, or pushed to you as it changes.
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