The world deserves better insurance.
At Zego, we’re reinventing an outdated industry and giving people the flexibility they need, allowing them to work on their own terms. Our platform provides super flexible insurance premiums, which offer workers in the gig economy the chance to work the hours they want without the pressure of having to pay for an expensive insurance premium upfront.
In 2018 we were listed as one of the top 3 disruptors to watch on the Sunday Times Fast Track 100. We were also listed in Wired magazine as one of the 5 hottest startups in London.
Recently we closed our series B round, raising $42M from top-tier investors that will fuel our growth into new territories and the expansion of our insurance portfolio.
Our recent success means that we’re currently scaling rapidly and hiring people that can help us supercharge our growth, while still embodying the values that have gotten us so far already.
We're looking for an experienced Data Engineer excited to help build an insurance company for the 21st century. You'll have the opportunity to build and improve a leading-edge data analytics platform and to shape the future of what’s possible with our data.
Our current stack is Python-based and hosted on AWS. We maintain both custom integrations (for ETL workloads) and use 3rd party tools (for ELT workloads) that are scheduled by Airflow, loaded into a Redshift cluster and modelled using Data Build Tool (DBT) and Looker (LookML). We're looking for people with a strong background in Python who are comfortable modelling data and writing performant SQL.
While we recognise that many applicants might not have experience with Airflow, Redshift, DBT or Looker, an interest in learning these, with the support of the team, is essential. We're looking for people with a commitment to building, nurturing, and iterating on an ever-evolving codebase.
As a Data Engineer at Zego you will have the opportunity to:
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, or disability status.
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