At a Glance
- Tasks: Shape the future of data handling and enhance analytics capabilities.
- Company: Renowned boutique Lloyd's broker with a focus on tech advancement.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Other info: Dynamic team environment with a strong emphasis on collaboration.
- Why this job: Join a respected company and work on exciting data transformation projects.
- Qualifications: 4+ years in data engineering, SQL expertise, and Python proficiency.
Data Engineer | Lloyd’s Broker | London/WFH | £70 – 80,000 (doe)
Our Client is a boutique Lloyd’s broker, who are renowned for fostering a culture of technological advancement, collaborative growth, and industry recognition are now seeking a Data Engineer to join the team.
A pivotal role has arisen due to strategic growth initiatives focused on enhancing data infrastructure and analytics capabilities.
As a Data Engineer, you will play a crucial part in shaping the future of data handling within the organisation, contributing directly to more informed decision-making and operational efficiency.
This is an exciting chance to work at the forefront of data transformation projects in a well-respected company.
Essential Skills & Experience
Minimum of four years’ experience in a data engineering or related technical role.
Proven expertise in SQL and working with both relational and No SQL databases.
Proficiency in Python for automation and data manipulation.
Familiarity with Azure cloud services and data migration projects.
Experience with Power BI and knowledge of containerisation tools is a plus.
Experience working with insurance data, including bordereaux.
Knowledge of Power Automate and AI-enabled development tools.
Must have a background of working in the insurance industry.
Please note that their hybrid working is 4 days onsite and 1 day working from home.
You must also have the right to work in the UK as sponsorship is not provided.
If you have the right experience, please apply now
Data Engineer employer: IO
Join a dynamic team in Stoke-on-Trent as a Junior Cloud Infrastructure Engineer, where you will thrive in a supportive work culture that prioritises employee growth and continuous learning. With hands-on experience across leading cloud platforms, you'll have the opportunity to develop your technical skills while contributing to meaningful projects in a collaborative environment. Enjoy the benefits of working with seasoned professionals who are committed to your career advancement and success in the ever-evolving field of cloud technology.
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 IO!
✨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 IO.
✨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 IO.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at IO, 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 IO, 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 IO. 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 IO
✨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 IO!
✨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.
