Company · Insurance companies underwriters

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.

London, United Kingdom201-500 employees50M-250M revenue, est.B2B, B2Czego.com ↗LinkedIn ↗
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
40open roles · 13 new in 30 days
14tools named in postings
United Kingdom, Portugalhiring locations
1change signals read in postings
02 — What they do, whom they sell to, who else does it

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.

What Zego does

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.

car insurancescooter delivery insurancevan insuranceelectric car insuranceautonomous vehicle insurancehire and reward insurance
Whom it sells to

Named on the site: new drivers, sole traders, growing businesses, contractors and tradespeople, independent drivers, delivery drivers, private hire drivers.

Who else sells this

Nearest companies by what they do, sell and whom they serve, 51+ employees. 591 scored.

GEICOUnited States · 10,001+ employeesVeygoUnited Kingdom · 51-200 employeessimpegoSwitzerland · 51-200 employeesОЗКBulgaria · 501-1000 employeesItzehoer VersicherungenGermany · 501-1000 employeesAIGSingapore · 1001-5000 employees
03 — Tech stack, with the evidence

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.

PythonData & AI · high confidence · 17 postings
• Design, build and own the Python microservices that power our insurance platform: secure, observable and built for scale
Lead Backend Engineer - Portugal · first seen 2026-09-14
SnowflakeProduct, program & project management · high confidence · 20 postings
• 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
Analytics Engineer · first seen 2026-09-14
SQLData & AI · high confidence · 13 postings
• Reporting & Dashboard Ownership: Build and maintain robust reports and dashboards (using SQL, Looker, Excel, etc.) to assess and track KPIs over time.
Senior Business Intelligence Analyst · first seen 2026-09-14
Amazon Web ServicesData & AI · high confidence · 10 postings
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).
Lead Data Engineer · first seen 2026-09-14
LookerProduct, program & project management · high confidence · 10 postings
• Reporting & Dashboard Ownership: Build and maintain robust reports and dashboards (using SQL, Looker, Excel, etc.) to assess and track KPIs over time.
Senior Business Intelligence Analyst · first seen 2026-09-16
Model Context Protocol · high confidence · 1 posting
• 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.
Lead Site Reliability Engineer · first seen 2026-09-30
DockerData & AI · high confidence · 8 postings
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).
Lead Data Engineer · first seen 2026-09-14
Amazon S3Data & AI · high confidence · 6 postings
• 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 technologies
Lead Data Engineer, Portugal · first seen 2026-09-14
Apache AirflowData & AI · high confidence · 6 postings
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).
Lead Data Engineer, Portugal · first seen 2026-09-14
Apache IcebergData & AI · high confidence · 6 postings
• 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 technologies
Lead Data Engineer, Portugal · first seen 2026-09-14
Apache SparkData & AI · high confidence · 6 postings
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).
Lead Data Engineer, Portugal · first seen 2026-09-14
TerraformData & AI · high confidence · 6 postings
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).
Lead Data Engineer, Portugal · first seen 2026-09-14
NumPy · high confidence · 2 postings
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.
Lead Data Scientist · first seen 2026-09-16
Polars · high confidence · 2 postings
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.
Lead Data Scientist · first seen 2026-09-16
On the website or in DNS

Vendors whose code loads on zego.com or whose records sit in its DNS. Page plumbing (libraries, fonts, consent banners) is left out.

04 — Hiring

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 →

05 — Signals

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.

insourcing
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.
Insurance Operations Manager · · 2026-10-27
Decision makers at Zego, with verified e-mails, and every change the moment it is posted.

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.

06 — Lookalikes

Companies like Zego

Nearest by what they do, what they sell and whom they sell to, 51+ employees. 6 of 591 scored.

GEICOGeneral insurance brokerage · United States10,001+ employees
VeygoOther insurance brokerage agency · United Kingdom51-200 employees
simpegoInsurance companies underwriters · Switzerland51-200 employees
ОЗКInsurance companies underwriters · Bulgaria501-1000 employees
Itzehoer VersicherungenGeneral insurance brokerage · Germany501-1000 employees
AIGInsurance companies underwriters · Singapore1001-5000 employees
07 — Profile

From the company's own website

Legal nameZego
IndustryBusiness & finance services · Insurance companies underwriters
Offeringscar insurance · scooter delivery insurance · van insurance · electric car insurance · autonomous vehicle insurance · hire and reward insurance
Target customersnew drivers · sole traders · growing businesses · contractors and tradespeople · independent drivers · delivery drivers · private hire drivers
Geographic scopeinternational · also Ireland
Reviews foundtrustpilot
Public contact points5 role addresses · 3 phone numbers
Pages readprivacy, pricing, terms, team, home, contact, about
Datescrawled 2026-08-06 · profiled 2026-08-16 · hiring built 2026-10-27
Cite this

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)
How we know

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.
FAQ

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.

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