Senior Data Engineer

Department: Data & Analytics

Employment Type: Full Time

Location: London

Hybrid: 2 days per week in London, 1 day per month in Fleet

Tempcover is at the forefront of the fast-growing world of short term insurance. Our mission is to make car insurance flexible, quick, and easy for drivers. We’ve sold millions of policies that have helped drivers get where they need to go, but we’re not finished there. We’re growing our team to help us continue in that mission. If you are extraordinary at what you do and want to be a part of a rapidly growing business at the cutting edge of the InsureTech industry, we would love to hear from you

The Data and Analytics team within Tempcover provide a vital role in bringing data, MI and Insight to life for internal & external stakeholders and partners.

The Senior Data Engineer will be responsible for the design, build and maintenance of the Tempcover cloud based data platform, supporting the wider business in making data-driven decisions. Leading the development and optimisation of data pipelines, data models and data quality controls, this role will require collaboration with data analysts and business stakeholders to translate data needs into scalable and reliable solutions.

Over the past 5 years, the data platform has continually evolved through the expansion of data models, integrations and underpinning technologies. This evolution is set to continue at pace as we refine our data ingestion solutions and expand our insight capability across the business. Starting in 2026 we expect to increasingly make use of the Google Big Query platform and move away from Azure over the next 12- 18 months.

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• Design, develop, and maintain robust data pipelines and ETL processes
  
• Create and manage accurate and performant data models to support Tempcover’s analytical capability.
  
• Propose and implement internal improvement initiatives to the data platform.
  
• Lead proactive approach to performance monitoring/tuning.
  
• Leverage cloud-based platforms to build a scalable data infrastructure.
  
• Provide continued support to ensure high availability of data to the wider business
  
• Work closely with analysts across MI, Marketing, Product, Underwriting and Pricing to understand data requirements and translate them into effective solutions.
  
• Work with rigour to ensure data quality/accuracy.
  
• Mentor and guide junior data engineers, providing technical expertise and project oversight.
  

Essential

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• Advanced proficiency in SQL databases, including writing complex queries, indexing and query optimisation.
  
• Experience of ETL tools such as Google Cloud Dataflow, DBT, Azure Data Factory, FiveTran and Databricks.
  
• Solid understanding of data warehousing techniques; ETL/ELT processes and dimensional modelling.
  
• In-depth knowledge of cloud-based data infrastructure (GCP, Azure, AWS).
  
• Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment.
  
• Proficiency with Git/DevOps for version control and collaboration.
  

Beneficial.

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• API integration.
  
• Knowledge of Python is beneficial.
  
• Ability to work within a SCRUM agile development environment.
  
• Understanding of visualisation and dashboard products (e.g. Power BI, Tableau, Qlik)
  

Our commitment to you:

At RVU, we are dedicated to developing valuable, inclusive, and user-friendly products and services that deliver positive outcomes for all of our customers. To achieve this it’s essential that our teams reflect the diverse range of people in our community. We believe in being the change we wish to see in the world, by embracing our differences and holding ourselves accountable to being open and inclusive teammates and wider community members.

We want to give you a great work environment, support your growth both personally and professionally, and provide benefits that make your time at RVU even more enjoyable. Here are some of the benefits you can look forward to:

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• 10% discretionary yearly bonus and yearly pay reviews (based on RVU and personal performance)
  
• A hybrid working approach with 2 in-office days per week and up to 22 working days per year to “work from anywhere”
  
• Employer matching pension contributions up to 7.5%
  
• A one-off £300 “Work from Home” budget to help contribute towards a great work environment at home
  
• Excellent maternity, paternity, shared parental and adoption leave policy, for those key moments in your life
  
• 25 days holiday (increasing with years of employment to 30 days) + 2 days “My Time” per year
  
• Private medical cover, critical illness cover and employee assistance programme
  
• A healthy learning and training budget
  
• Electric vehicle and cycle to work schemes
  
• Regular events - from team socials to company-wide events with insightful external speakers, we want to make sure our colleagues continue to feel connected
  

*As a tech company who strives to get better every day, we use Metaview during the interview processes for note taking purposes. This records and transcribes interviews so the interviewer can fully focus on your conversation, rather than writing. This has no bearing on the assessment of you as a candidate and you can opt out at any time. Just let us know.