At a Glance
- Tasks: Design and build data models while ensuring data quality and governance.
- Company: Global recruitment specialist with a focus on diverse markets.
- Benefits: Competitive pay rate of £438 per day, flexible onsite days.
- Other info: Opportunity to work with cutting-edge tools and cloud platforms.
- Why this job: Join a dynamic team and shape data solutions in the insurance sector.
- Qualifications: 8+ years of experience in data modelling and strong SQL skills.
We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.
Location: London
Days on site: 2-3 days/week onsite
Pay Rate: £438 per day all inc. (PAYE through Umbrella)
Sector: Insurance
Experience: 8+ Years
Role Description:
- Design conceptual, logical, and physical data models
- Build optimized relational and dimensional (star/snowflake) schemas
- Translate business requirements into efficient data structures
- Ensure data quality, integrity, and governance standards
- Collaborate with architects, engineers, and analysts on data solutions
- Support ETL/ELT design and data integration
- Maintain data documentation, metadata, and data dictionaries
Required Skills:
- Strong expertise in data modelling techniques (3NF, dimensional modelling)
- Proficiency in SQL & RDBMS (SQL Server, Oracle, PostgreSQL, etc.)
- Experience with data modelling tools (ERwin, ER/Studio, etc.)
- Knowledge of data warehousing and ETL processes
- Familiarity with cloud platforms (Azure/AWS/GCP) is a plus
- Strong analytical and problem-solving skills
- Good stakeholder communication
- Attention to detail and data accuracy
Data Modeller in London employer: eTeam
As a SQL DBA Lead in Manchester, you will join a dynamic team that values expertise and collaboration, offering a supportive work culture where your contributions are recognised. The company prioritises employee growth through mentorship opportunities and continuous learning, ensuring you can advance your skills in a secure and innovative environment. With a focus on performance and security, this role provides the chance to work on enterprise-level database operations while enjoying the benefits of a fully onsite position in a vibrant city.
StudySmarter Expert Advice🤫
We think this is how you could land Data Modeller in London
✨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 eTeam!
✨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 Modeller at eTeam.
✨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 eTeam.
✨Apply Directly through Our Website
When you find a suitable opening like Data Modeller at eTeam, 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 Modeller in London
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 eTeam, 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 eTeam. 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 eTeam
✨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 eTeam!
✨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.
