National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Engineer

RVU
Fleet
4 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Description

Hybrid with 2 days per week in our Fleet HQ, or 1 day Fleet and 1 day RVU London HQ (Tower Bridge) per week if more conveinient.

Tempcoveris 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 team/role

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 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 4 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.



What you'll be doing

Key Duties & Responsibilities:
  • 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 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. 


What we're looking for

  • Advanced proficiency in SQL databases, including writing complex queries, indexing and query optimisation.
  • Experience of ETL tools such as Azure Data Factory, Google Cloud Dataflow, FiveTran, Databricks.
  • Solid understanding of data warehousing techniques; ETL/ELT processes and dimensional modelling.
  • In-depth knowledge of cloud-based data infrastructure (Azure, AWS, GCP).
  • 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.
  • 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)


Benefits

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:
  • 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
At RVU we combine the close-knit and agile environment of a startup, with the know-how, technology and backing of a well-established company.

Our mission is to empower people to make confident decisions. With our unique set of brands, includingUswitch,Confused.com,money.co.uk, Tempcover and Mojo Mortgages, we have the power to reach millions of consumers and the technology to deliver a world class online experience for them.

Our culture
Our culture is driven by innovation, collaboration, and a relentless focus on creating real value for our customers. With an experimentation mindset, we challenge the status quo, push boundaries, and embrace continuous learning to stay ahead. Our diverse teams are made up of brilliant people who uplift each other and work together to tackle complex problems. We work with a balance of rigour and urgency so we can learn fast and adapt to change quickly. We are a company where growth knows no limits, and where every person is empowered to make an extraordinary impact. Check out our Life At RVU page to get a further glimpse into our culture. 

*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.
National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.