At a Glance
- Tasks: Build and optimise data platforms while enhancing data quality and reporting capabilities.
- Company: Join a leading London Market Insurance Syndicate with a collaborative team.
- Benefits: Competitive daily rate, flexible contract, and opportunities for professional growth.
- Other info: Dynamic Agile environment with opportunities to mentor junior team members.
- Why this job: Make a real impact in the insurance sector with your data engineering skills.
- Qualifications: Experience in Azure-based data engineering and knowledge of the London Market.
The predicted salary is between 138250 - 138250 £ per year.
We’re working closely with a London Market Insurance Syndicate to hire an experienced Contract Data Engineer to support the ongoing development and enhancement of its core data environment. This is a hands‑on role focused on building and optimising the data platform, data warehouse and wider data ecosystem, helping to improve data quality, accessibility and reporting capability across the Syndicate. This opportunity would suit someone with strong Lloyd’s / London Market experience and a solid background in Azure-based data engineering.
What you’ll be doing:
- Build, enhance and support the data ecosystem, including the Syndicate Data Hub
- Develop and maintain ETL / ELT pipelines for ingesting, transforming and delivering data
- Support the design and evolution of the data model, with a focus on Syndicate-specific requirements
- Load and manage ad hoc data sets within the data platform
- Develop data services / APIs to support internal stakeholders and downstream systems
- Support scheduled data outputs and reporting processes
- Promote best practice in data quality, governance, testing and documentation
- Collaborate with the wider team in an Agile delivery environment
- Share knowledge and support junior team members where needed
Contract BI Developer employer: Hanson Lee
Hanson Lee offers a dynamic and supportive work environment in the heart of London, making it an excellent employer for those looking to grow in the customer success field. With a strong emphasis on employee development, you will have access to mentorship from experienced leaders and opportunities to influence product direction while working with a diverse portfolio of clients. The hybrid work model promotes a healthy work-life balance, ensuring that you can thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Contract BI Developer
✨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 Contract BI Developer at Hanson Lee.
✨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 Hanson Lee.
✨Apply Directly through Our Website
When you find a suitable opening like Contract BI Developer at Hanson Lee, 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 Contract BI Developer
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 Hanson Lee, 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 Hanson Lee. 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 Hanson Lee
✨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 Hanson Lee!
✨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.
