Senior Quality Engineer

Job Type: Permanent

Build a brilliant future with Hiscox

Member of the Hiscox US Data Engineering practice

Reporting to:
Director of Data Engineering

You will bring your specialist knowledge of quality engineering to our US Data Engineering chapter. You will take an automation‑first approach to ensure the quality of our team’s work, shifting left to truly understand our stakeholders’ needs and act as their voice in the development process.

• Engaging with our stakeholders at the earliest possible stage to understand what they need from our data applications.
• Collaborating with product owners to convert those needs into unambiguous and testable requirements.
• Developing automated tests to ensure our code delivers to those requirements and that regression is not introduced by future development.
• Building, expanding, and improving automation frameworks to ensure our testing is effective and efficient.
• Collaborating with data engineers in your squad to help them deliver quality code, and with quality engineers across the practice to ensure our test coverage is coherent and comprehensive.
• Participating in code reviews for data and quality engineers with a continuous‑improvement mindset.
• Balancing meticulous attention to detail where it matters with a risk‑based approach to deliver quality outcomes at high velocity.
• Building a culture of quality where everyone takes ownership of producing quality outputs in a psychologically safe environment.

• Confidence, ability, and desire to shift left and truly understand what quality means for our business.
• Deep familiarity with behavior‑driven development approaches, including the Cucumber/Gherkin syntax for test scenarios.
• Experience working using a modern test automation approach; an SDET who writes code to ensure quality outcomes.
• Excellent knowledge of and proven experience with Python testing frameworks, particularly pytest.
• Good knowledge of SQL and ideally of dbt.
• Hands‑on experience with modern cloud data lakehouse technologies (e.g., Databricks, preferred, or Snowflake).
• Experience collaborating with technical and non‑technical team members in agile Scrum ceremonies – roadmap planning, feature workshops, backlog elaboration, code review.

Beyond the required skills we are open to individuals of diverse talents. Experience with additional technologies, data science knowledge, or an insurance background is all valued. We want to know how your unique abilities can contribute to our team.

• We operate in a diverse technical landscape and are looking for flexible engineers who can adapt to and use many different tools.
• We have built a modern cloud data platform to realise the full value of our data. It is based on Databricks and uses dbt for transformation.
• We surface data for use by analysts working primarily in Power
  
  BI.
• We use pytest for unit testing and would like to expand to using it for end‑to‑end testing with a BDD approach.
• Much of our business logic is in dbt so we use built‑in components and extensions to ensure quality there.
• We use Azure Pipelines to integrate our testing with our CI/CD.
• Our technology landscape is not complete. Our engineering teams will be able and required to help us build out our technology stack to fill gaps and embrace new opportunities.

• Competitive salary and bonus (based on personal & company performance)
• 401(k) with competitive company matching
• Comprehensive health insurance, vision, dental and FSA plans (medical, limited purpose, and dependent care)
• Company‑paid group term life, short‑term disability and long‑term disability coverage
• 24 paid time off days plus 2 Hiscox days, 10 paid holidays plus 1 paid floating holiday, and ability to purchase 5 PTO days
• Paid parental leave
• 4‑week paid sabbatical after every 5 years of service
• Financial Adoption Assistance and Medical Travel Reimbursement Programs
• Annual reimbursement up to $600 for health club membership or fees associated with any fitness program
• Company‑paid subscription to Headspace to support…