At a Glance
- Tasks: Lead customer proof-of-concept projects and deliver impactful data solutions.
- Company: Join Verisk, a leader in data analytics for the insurance industry.
- Benefits: Enjoy competitive pay, health benefits, and a focus on career development.
- Other info: Collaborative team culture that values communication and innovation.
- Why this job: Make a real difference by helping customers understand and utilise valuable data.
- Qualifications: Strong SQL and Python skills, with experience in data engineering.
The predicted salary is between 63000 - 77000 £ per year.
At Verisk, we empower businesses around the world with data, analytics, technology, and deep domain expertise. Our solutions help customers manage risk, improve performance, and make confident decisions in complex environments. Within Verisk General Insurance UK, we provide market-leading data and analytics solutions that support insurers, brokers, and industry partners. Our datasets span property, motor insurance, fraud prevention, and claims, helping customers better understand risk and improve outcomes.
We're looking for a Data Engineer to join our Norwich-based team and play a key role in delivering customer-facing data solutions. This is an opportunity to work directly with valuable insurance datasets, lead proof-of-concept initiatives, and help shape the way data is delivered, automated, and scaled across the business.
This role offers a unique combination of data engineering, customer impact, and technical ownership. You'll be trusted to lead underwriting proof-of-concept projects that help customers evaluate the value of Verisk data before making commercial decisions. Your work will directly influence customer outcomes, product adoption, and future business opportunities. You'll also have the opportunity to improve and automate existing processes, work with modern cloud technologies, and expand your expertise across a broad range of data engineering activities.
What makes this role different:
- Own customer proof-of-concept projects from end to end
- Work with large-scale property and insurance datasets used throughout the industry
- Partner with both technical teams and non-technical business stakeholders
- Help modernize and automate existing workflows using AWS and Python
- Gain exposure to multiple areas of the data engineering function through cross-training
- Join a collaborative team where communication, initiative, and problem-solving are highly valued
About the team: You'll join a team primarily made up of Data Analysts alongside an experienced Data Engineer. The role will work closely with both groups, supporting underwriting databases, sharing knowledge, and contributing to broader data engineering initiatives. While you'll take primary ownership of proof-of-concept activities, you'll also have the opportunity to learn other areas of the team's work, contributing to a collaborative environment where knowledge sharing and cross-training are encouraged.
We're looking for someone who combines strong technical capability with curiosity, initiative, and excellent communication skills. You'll be comfortable working independently, solving problems, and explaining technical concepts to audiences with varying levels of technical knowledge.
Strong SQL skills with experience querying and manipulating large datasets
Strong Python experience in a data engineering environment
Experience building, maintaining, or optimizing data pipelines and data processes
Experience working with AWS data engineering technologies
Understanding of data quality, validation, and governance practices
Strong analytical and problem-solving skills
Excellent attention to detail
Ability to communicate complex technical concepts clearly and confidently
Experience working with both technical and non-technical stakeholders
A proactive approach to identifying and implementing process improvements
Ability to manage priorities and deliver work in a fast-paced environment
Preferred skills:
- Experience with AWS Glue
- Experience deploying Python-based data engineering workloads into production environments
- Experience automating data workflows using cloud-native services
- Understanding of batch processing, scheduling, and scalable data solutions
- Experience within insurance, financial services, or another data-intensive industry
In this role, success is not simply about delivering data. It's about helping customers understand and gain value from it. You'll become a trusted expert in the data products you support, deliver proof-of-concepts efficiently, communicate clearly with stakeholders, and continuously look for opportunities to improve and automate the way the team works.
At Verisk, you'll join a global organization where data and technology sit at the heart of everything we do. We offer the stability, scale, and resources of an established market leader while providing opportunities to make a meaningful impact from day one. We value collaboration, continuous learning, and practical innovation.
Ready to build data solutions that help shape better decisions across the insurance industry? We'd love to hear from you.
Data Engineer in Norwich employer: Verisk Analytics
Verisk Analytics is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Greater London. With a strong emphasis on employee growth, we offer mentorship opportunities and the chance to work on cutting-edge AI-driven projects that enhance decision-making in the insurance industry. Our commitment to professional development and a supportive environment makes us an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Norwich
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Verisk Analytics!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at Verisk Analytics.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Verisk Analytics.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Verisk Analytics, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer in Norwich
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Verisk Analytics, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Verisk Analytics. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Verisk Analytics
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Verisk Analytics!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
