At a Glance
- Tasks: Lead data architecture and modelling for a dynamic Fintech platform.
- Company: Innovative Fintech company focused on scalable data solutions.
- Benefits: Competitive daily rate, flexible working, and inclusive culture.
- Other info: Join a diverse team committed to equality and support.
- Why this job: Shape the future of data in a fast-paced Fintech environment.
- Qualifications: Strong background in data architecture and modelling, especially in Fintech.
The predicted salary is between 65250 - 79750 £ per year.
£700-750/day outside IR35
London-based
Short-term initial engagement - 3-months
Working with a Fintech who are looking for a Lead Data Architect / Modeller to ensure the platform's data is structured correctly from the outset and can scale with business demand. This will be for someone to own the long-term data architecture and modelling between the engineering team who are focused on building and the analytics team who are consuming data.
Responsibilities:
- Define business-led conceptual data model across operational processes
- Design / shape the operational data architecture
- Ensure enterprise data models are scalable, consistent and reusable
- Help define the semantic layer
- Work closely with business stakeholders to understand how processes operate
- Challenge requirements
- Review existing direction and identify architectural or modelling issues
Key skills:
- Strong Data Architecture and Data Modelling background
- Fintech background
- Excellent conceptual and logical data modelling experience
- Experience designing data structures supporting operational workflows / case management
- Strong understanding of business requirements and the ability to translate them into scalable data models
- Modern event-driven architecture experience
- Strong stakeholder engagement and the confidence to challenge the business and engineering teams where appropriate
- Able to operate at both business/conceptual level and technical architecture level
Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.
Lead Data Architect / Modeller in London employer: Sanderson Careers
Join a forward-thinking company that values innovation and collaboration, offering a fully remote role as a Technical Architect. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the chance to mentor junior colleagues, all while contributing to impactful digital solutions. Our inclusive work culture fosters creativity and teamwork, making it an excellent environment for professionals looking to make a meaningful difference in technology.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Architect / Modeller in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Sanderson Careers before they're even advertised!
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Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
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We think you need these skills to ace Lead Data Architect / Modeller in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Sanderson Careers, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Sanderson Careers, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Sanderson Careers’s attention and show the tangible impact of your work.
How to prepare for a job interview at Sanderson Careers
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Sanderson Careers.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Sanderson Careers.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Sanderson Careers.
