At a Glance
- Tasks: Join a team to build next-gen data solutions for the insurance industry.
- Company: i3® Agile Recruitment & Consulting Solutions, a leader in innovative tech.
- Benefits: Competitive pay based on skills, plus opportunities for growth and development.
- Other info: Collaborative culture with a focus on innovation and career advancement.
- Why this job: Make an impact with cutting-edge data technology in a dynamic environment.
- Qualifications: Experience in SQL, data warehousing, and a background in insurance.
The predicted salary is between 45000 - 55000 £ per year.
This role supports the London Office as part of a team building a next-gen data warehouse, powerful integrations, and insightful Power BI solutions to support Underwriting, Claims, and Operations, with a global reach.
We are looking for someone who is technically strong, proactive in communication, an independent problem-solver, and a team player with a deep understanding of insurance data (especially within the syndicate and company markets).
What You’ll Be Doing
- Collaborate with the Lead Data Engineer and Business Analysts to deliver data solutions that meet evolving business needs.
- Design and develop a data warehouse using star schema modelling.
- Build seamless internal and external integrations.
- Develop impactful Power BI dashboards and reports.
- Provide ongoing data support and drive reconciliation processes.
- Conduct thorough unit testing and produce clear documentation.
Technical Skills
- Strong SQL Server and T-SQL experience.
- Deep understanding of data warehouse modelling.
- Experience with Azure Fabric, Pipelines, DevOps, and Git.
- Solid grasp of application data modelling and data integration.
Industry Knowledge
- Strong background in the insurance domain – particularly London Market business.
- Comfortable working with syndicate and company market data.
Soft Skills
- Excellent communication and interpersonal skills.
- Strong documentation and organisational capabilities.
- Ability to work independently and deliver high-quality outcomes.
- Analytical mindset with attention to detail.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Analyst, Engineering, and Design
Industries: Insurance
London, England, United Kingdom
Data Engineer in England employer: i3
Join a leading global insurer in the heart of the City of London, where you will be part of a dynamic team driving significant transformation initiatives. With a strong focus on employee development and a collaborative work culture, this role offers competitive compensation and the chance to work on impactful projects within the London insurance market. Enjoy the unique advantage of a hybrid working model, allowing for flexibility while being part of a vibrant city environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in England
✨Get Involved in Data Science Meetups
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✨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 i3.
✨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 i3.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at i3, 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 England
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 i3, 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 i3. 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 i3
✨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 i3!
✨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.
