Data Architect Lead/Enterprise Architect in London

Data Architect Lead/Enterprise Architect in London

London Full-Time 72000 - 88000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Shape data strategy and architecture for a leading insurance client.
  • Company: Join a growing data function in a dynamic insurance environment.
  • Benefits: Competitive salary, flexible working options, and career advancement opportunities.
  • Other info: Exciting opportunity to lead in a fast-paced, evolving industry.
  • Why this job: Make a significant impact on data solutions and collaborate with senior stakeholders.
  • Qualifications: Experience in data architecture and strong communication skills.

The predicted salary is between 72000 - 88000 £ per year.

We're looking for an Enterprise Data Architect to join a growing data function for one of our Insurance clients and play a key role in shaping the organisation's data strategy and architecture.

Hit Apply below to send your application for consideration Ensure that your CV is up to date, and that you have read the job specs first.

This is a senior, business-facing role with a strong focus on Data Architecture, working closely with senior stakeholders xgikmsk and the wider business to understand data requirements, develop solutions from the to...

Data Architect Lead/Enterprise Architect in London employer: Morson Edge

As a leading player in the Energy Sector, our company offers an exceptional work environment in Bridgwater, Somerset, where you can thrive as a Welding / NDT Field Engineer. We pride ourselves on fostering a collaborative culture that prioritises employee growth and development, alongside competitive daily rates and the potential for contract extensions until December 2026. Join us to be part of a dynamic team dedicated to making a meaningful impact in the energy industry.

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Contact Details:

Morson Edge Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Architect Lead/Enterprise Architect 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 Morson Edge!

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 Architect Lead/Enterprise Architect at Morson Edge.

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 Morson Edge.

Apply Directly through Our Website

When you find a suitable opening like Data Architect Lead/Enterprise Architect at Morson Edge, 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 Architect Lead/Enterprise Architect in London

Data Architecture
Stakeholder Engagement
Data Strategy Development
Solution Development
Business Analysis
Data Modelling
Database Design

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 Morson Edge, 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 Morson Edge. 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 Morson Edge

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 Morson Edge!

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.