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For Companies At a Glance
- Tasks: Design and maintain data pipelines, ensuring high-quality data for analysis.
- Company: Join Tempcover, a leader in the InsureTech industry, transforming car insurance.
- Benefits: Enjoy a hybrid work model, competitive salary, and generous holiday allowance.
- Why this job: Be part of a dynamic team making car insurance flexible and easy for everyone.
- Qualifications: Proficient in SQL, ETL tools, and cloud-based data infrastructure.
- Other info: Great career growth opportunities and a commitment to diversity and inclusion.
The predicted salary is between 48000 - 84000 £ per year.
Hybrid: 2 days per week in London, 1 day per month in Fleet
Department: Data & Analytics
Location: London
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 have sold millions of policies that have helped drivers get where they need to go, but we are not finished there. We are 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.
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 a 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 rigor 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 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
- Ability to work within a SCRUM agile development environment
- Understanding of visualisation and dashboard products (Power BI, Tableau, Qlik)
Our Commitment To You
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
- A hybrid working approach with 2 in-office days per week and up to 22 working days per year of "work from anywhere"
- Employer matching pension contributions up to 7.5%
- A one-off £300 "Work from Home" budget
- Excellent maternity, paternity, shared parental and adoption leave policy
- 25 days holiday (increasing to 30 days) + 2 days "My Time" per year
- Private medical cover, critical illness cover and employee assistance programme
- A learning and training budget
- Electric vehicle and cycle to work schemes
- Regular events – from team socials to company-wide events with external speakers
- Use of Metaview during interview processes for note-taking purposes; candidates can opt out at any time
Seniority Level: Mid-Senior level
Employment Type: Full-time
Job Function: Information Technology
Industries: Insurance
Referrals increase your chances of interviewing at Tempcover by 2x.
Staff Data Engineer in London employer: Tempcover
Contact Detail:
Tempcover Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. The more you engage with others, the better your chances of landing that Staff Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, ETL processes, and any projects you've worked on. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and cloud-based infrastructure knowledge. Be ready to discuss your problem-solving approach and how you've tackled challenges in previous roles.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our mission at Tempcover.
We think you need these skills to ace Staff Data Engineer in London
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 platforms. We want to see how your skills align with what we're looking for!
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 mission at Tempcover. Keep it engaging and personal!
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your expertise in data pipelines, performance tuning, and collaboration with teams. We love seeing real examples!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. We can't wait to hear from you!
How to prepare for a job interview at Tempcover
✨Know Your Data Inside Out
Make sure you brush up on your SQL skills and be ready to discuss complex queries. Familiarise yourself with the ETL tools mentioned in the job description, like Google Cloud Dataflow and Databricks, so you can confidently talk about your experience with them.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data challenges in the past. Think about specific situations where you improved data quality or optimised performance, as this will demonstrate your ability to think critically and work independently.
✨Understand the Company’s Mission
Tempcover is all about making car insurance flexible and easy. Research their products and think about how your role as a Staff Data Engineer can contribute to this mission. Showing that you align with their goals will make a great impression.
✨Be Ready to Mentor
Since the role involves mentoring junior data engineers, be prepared to discuss your approach to guiding others. Share any past experiences where you've provided technical expertise or project oversight, as this will highlight your leadership potential.
