At a Glance
- Tasks: Shape the future of motor insurance by building impactful data products and pipelines.
- Company: Join Prima, the number one online motor insurance provider trusted by over 5 million drivers.
- Benefits: Enjoy flexible working, private healthcare, gym discounts, and tailored growth plans.
- Other info: Be part of a supportive culture that values curiosity, experimentation, and continuous learning.
- Why this job: Make a real impact in a dynamic team while working with cutting-edge technologies.
- Qualifications: Experience in data engineering, cloud solutions, and collaboration with data scientists.
The predicted salary is between 60000 - 80000 £ per year.
Fancy helping us shape the future of motor insurance? Prima could be the place for you. Since 2015, we’ve been using our love of data and tech to rethink motor insurance and bring drivers a great experience at a great price. Our story began in Italy, where we’ve quickly become the number one online motor insurance provider. In fact, we’re trusted by over 5 million drivers. And now we’re expanding to help millions more drivers in the UK and Spain. To help fuel that growth, we need a Senior Data Engineer to join our Engineering team. This team is the beating heart of Prima. You’ll be joining over 350 engineers across software development, infrastructure, operations, and security. Fueled by curiosity, experimentation, and collaboration, you’ll help deliver scalable, impactful solutions that shape the future of insurance.
Excited to make an impact? Here are the details:
You’ll be joining our Pricing and Underwriting domain to bridge the gap between machine learning/data science and engineering. You will help build, publish, and maintain our complex data products and pipelines — key elements with a significant impact on the company’s growth.
What you’ll do:
- Shape the architecture of data products designed for:
- data analytics
- forecasting
- feature engineering
- customer behavior analysis
- integration of new data sources
- Data Transformation & Governance
- Lead best practices in:
- data modelling
- performance optimization
- data governance
- consistent, available, reliable data
- Build reusable technology enabling teams to:
- ingest data
- store data
- transform data
- serve their own data products
- Collaboration & Product Thinking
- Work closely with:
- data scientists
- machine learning engineers
- Refine data requirements and evolve infrastructure capabilities
- Stay updated with emerging technologies
- Experiment with open source tools
- Participate in community-building initiatives such as meetups
- Continuously learn and improve engineering practices
What we’re looking for:
- Batch processing
- Distributed data processing
- Experience with technologies such as:
- Kafka
- Flink
- Spark
- Databricks experience is a plus
- Experience implementing:
- Data Lakes
- Big Data Analytics platforms
- Cloud-based solutions experience (AWS preferred)
- Software Engineering
- Expertise with:
- RDBMS
- Data Warehousing
- Data Modelling
- Experience with:
- Redshift
- PostgreSQL
- NoSQL databases
- DevOps & Infrastructure
- Proficiency in:
- DevOps practices
- CI/CD pipeline management
- Infrastructure as Code (IaC)
- Nice-to-Have:
- Hands-on experience with:
- Data Quality
- Data Governance techniques
- Knowledge of:
- MLOps
- Feature Engineering
- Exposure to data analysis and ML tools such as:
- scikit-learn
- pandas
- NumPy
- XGBoost
- LightGBM
- Familiarity with orchestration tools:
- Apache Oozie
- Apache Airflow
Why you’ll love it here:
We want to make Prima a happy and empowering place to work. So if you decide to join us, you can expect plenty of perks. Enjoy full flexibility — work from home, the office, or a mix of both. Plus, work from anywhere for up to 30 days a year. Grow with us. We may move fast at Prima, but we move together. Get access to learning resources, mentorship, and a growth plan tailored to you. Thrive and perform. Your best work begins when you feel your best. Enjoy private healthcare, gym discounts, wellbeing programs, and mental health support.
Data Engineer employer: Lambda World
At Prima, we pride ourselves on being an innovative and empowering employer, dedicated to reshaping the motor insurance landscape. Our flexible work culture allows you to choose your environment, whether it's from home or in the office, while our commitment to employee growth ensures access to tailored learning resources and mentorship. With a focus on wellbeing, we offer private healthcare, gym discounts, and mental health support, making Prima a fantastic place for passionate Data Engineers to thrive and make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨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 Lambda World!
✨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 Lambda World.
✨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 Lambda World.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Lambda World, 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
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 Lambda World, 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 Lambda World. 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 Lambda World
✨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 Lambda World!
✨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.
