At a Glance
- Tasks: Build and support innovative data products using modern tech.
- Company: Join a leading personal lines insurer in the UK.
- Benefits: Competitive salary, collaborative culture, and opportunities for growth.
- Other info: Dynamic team environment with a focus on innovation and learning.
- Why this job: Work with cutting-edge AI and ML technologies to make a real impact.
- Qualifications: Experience with Databricks, Python, and strong collaboration skills.
The predicted salary is between 60000 - 80000 £ per year.
We are recruiting for a Data Engineer on behalf of one of the UK's most recognised and celebrated personal lines insurers. The successful candidate will join a collaborative team of data and AI engineers, scientists, developers, analysts, and architects. Together, they will design and build modern machine learning and AI services that support analytics and improve products across the business. It’s a chance to work on a very modern tech stack and learn from an incredible team.
Key Responsibilities
- Building and supporting data products within modern data platform.
- Designing and delivering solutions with engineers, scientists and product teams.
- Developing and optimising data pipelines across the analytics platform.
- Integrating data from varied sources with strong quality standards.
- Maintaining orchestration, monitoring and performance of data components.
- Improving engineering processes across the wider data community.
- Promoting high coding and data practice standards.
- Experimenting with emerging data, ML and AI technologies.
- Partnering with architects on data product designs.
- Working collaboratively in multi-functional agile squads.
- Supporting ML and GenAI infrastructure and workflows.
Key Requirements
- Passion for building scalable, resilient cloud data platforms.
- Strong experience with Databricks or Snowflake on AWS.
- Proven Python skills, including Spark and Airflow expertise.
- Advanced SQL skills and end-to-end data modelling experience.
- Experience building batch and real-time data integrations.
- Hands-on CICD skills with Git, Jenkins or similar.
- Ability to ingest, cleanse and structure large, diverse datasets.
- Knowledge of Terraform or similar IaC tools.
- Experience with Docker and Kubernetes is beneficial.
- Exposure to production Generative AI is an advantage.
- Strong collaboration skills and a proactive attitude.
Data Engineer in Reigate employer: Claims Recruitment Services
Join one of the UK's leading personal lines insurers as a Data Engineer in Reigate, where innovation meets collaboration. Our dynamic work culture fosters continuous learning and growth, providing you with the opportunity to work alongside top-tier professionals on cutting-edge technologies. Enjoy a supportive environment that values your contributions and encourages experimentation with emerging data and AI technologies, making it an ideal place for those seeking meaningful and rewarding employment.
Contact Details:
Claims Recruitment Services Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Reigate
✨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 Claims Recruitment Services!
✨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 Claims Recruitment Services.
✨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 Claims Recruitment Services.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Claims Recruitment Services, 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 Reigate
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 Claims Recruitment Services, 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 Claims Recruitment Services. 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 Claims Recruitment Services
✨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 Claims Recruitment Services!
✨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.
