Staff Data Engineer

Staff Data Engineer

Full-Time 36000 - 60000 ÂŁ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and maintain cloud-based data platforms, optimising data pipelines and models.
  • Company: Join a fast-growing InsureTech company focused on flexible car insurance solutions.
  • Benefits: Enjoy a hybrid work model, competitive salary, and generous holiday allowance.
  • Why this job: Be part of a dynamic team making impactful data-driven decisions in a cutting-edge industry.
  • Qualifications: Advanced SQL skills and experience with ETL tools are essential.
  • Other info: Collaborative culture with excellent career growth opportunities and a commitment to diversity.

The predicted salary is between 36000 - 60000 ÂŁ per year.

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.

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 Staff 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.

What you’ll be doing:

  • 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.

What we’re looking for:

Essential:

  • 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:

  • 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.

What we offer:

  • 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 ÂŁ300 “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.

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.

Staff Data Engineer employer: RVU Co UK

Tempcover is an exceptional employer that champions innovation and collaboration within the fast-paced InsureTech industry. With a strong commitment to employee growth, we offer a hybrid working model, generous benefits including a discretionary bonus, and a supportive culture that values diversity and continuous learning. Join us in London and Fleet, where you can make a meaningful impact while enjoying a vibrant work environment and ample opportunities for professional development.
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Contact Detail:

RVU Co UK Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Staff Data Engineer

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Tempcover. A friendly chat can sometimes lead to opportunities that aren’t even advertised!

✨Tip Number 2

Prepare for those interviews! Research Tempcover’s mission and values, and think about how your skills as a Data Engineer can help them achieve their goals. Tailor your examples to show you’re the perfect fit.

✨Tip Number 3

Show off your projects! If you’ve worked on any cool data pipelines or cloud-based solutions, be ready to discuss them. Bring your portfolio or GitHub link to the interview to showcase your work.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Tempcover team!

We think you need these skills to ace Staff Data Engineer

SQL Databases
ETL Tools
Google Cloud Dataflow
DBT
Azure Data Factory
FiveTran
Databricks
Data Warehousing Techniques
ETL / ELT Processes
Dimensional Modelling
Cloud-Based Data Infrastructure
GCP
Azure
AWS
Problem-Solving Skills
Git
DevOps
API Integration
Python
SCRUM Agile Development
Data Visualisation
Power BI
Tableau
Qlik

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Staff Data Engineer role. Highlight your experience with SQL databases, ETL tools, and cloud-based data infrastructure. We want to see how your skills align with our mission at Tempcover!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the InsureTech industry and how you can contribute to our data-driven decisions. Let us know what makes you extraordinary!

Showcase Your Problem-Solving Skills: In your application, don’t forget to mention specific examples of how you've tackled complex problems in the past. We love candidates who can think on their feet and come up with innovative solutions!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at RVU Co UK

✨Know Your Data Tools

Make sure you brush up on your knowledge of SQL databases and ETL tools like Google Cloud Dataflow and Azure Data Factory. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of the technologies that Tempcover relies on.

✨Showcase Your Problem-Solving Skills

Prepare to share specific examples of how you've tackled complex data challenges in previous roles. Highlight your ability to work both independently and collaboratively, as this is crucial for the fast-paced environment at Tempcover.

✨Understand the Business Needs

Familiarise yourself with Tempcover's mission and how the Data and Analytics team supports the wider business. Think about how you can translate data needs into effective solutions and be ready to discuss how you would approach this in your role as a Staff Data Engineer.

✨Embrace the Culture

Tempcover values innovation and collaboration, so be prepared to discuss how you embody these traits. Share experiences where you've worked in diverse teams or led initiatives that challenged the status quo, demonstrating that you're a good fit for their culture.

Staff Data Engineer
RVU Co UK
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