At a Glance
- Tasks: Design and implement data models for large-scale projects in finance.
- Company: Leading financial services client with a strong reputation.
- Benefits: Competitive day rate, flexible work schedule, and opportunity for growth.
- Other info: Collaborative environment with a focus on innovation and data governance.
- Why this job: Shape the future of data solutions and make a real impact.
- Qualifications: Experience in data modelling and cloud platforms like AWS and Azure.
The predicted salary is between 62000 - 102000 £ per year.
Requirements
- We are looking for a passionate Data Modeler/Architect with experience building end-to-end data solutions.
- We require experience developing conceptual, logical, and physical data models for enterprise-wide initiatives.
- We require experience creating and maintaining metadata, data dictionaries, and entity relationships.
- We require the ability to translate business needs into scalable, compliant data structures.
- We require experience modeling structured and unstructured data across relational and No SQL databases.
- We require experience implementing data models on cloud platforms including AWS, Azure, and Snowflake.
- We require experience supporting data migration, integration, and reconciliation strategies.
Responsibilities
- We will collaborate with architects, engineers, and analysts to shape the data backbone of large-scale programmes.
- We will develop conceptual, logical, and physical data models for enterprise-wide initiatives.
- We will build end-to-end data lifecycle event flows aligned to logical models and systems.
- We will create and maintain comprehensive metadata, data dictionaries, and entity relationships.
- We will translate business needs into scalable, compliant data structures.
- We will champion data governance policies and standards.
- We will model structured and unstructured data across relational and No SQL databases.
- We will implement data models on cloud platforms including AWS, Azure, and Snowflake.
- We will support data migration, integration, and reconciliation strategies.
- Technologies
- AWS
- Architect
- Azure
- Backbone
- Cloud
- CRM
- Support
- No SQL
- Snowflake
More
We are a highly regarded client within the financial services sector, working on major enterprise data initiatives across Finance, CRM, and Master Data Management (MDM).
The role is based in London with two days in the office each week.
The day rate is 600 to 700 per day, the assignment is for a minimum of 6 months, and the engagement is Outside IR35.
- last updated 36 week of 2026
- #J-18808-Ljbffr
Data Architect / Data Modeler in London employer: Consortia
As a Senior Software Engineer at our company, you'll be part of a dynamic and collaborative engineering culture that values quality and innovation. We offer a stimulating work environment where you can tackle complex technical challenges while contributing to systems that have a real-world impact, all within a supportive team that encourages professional growth and development. Located in a vibrant area, we provide the unique advantage of working on enterprise-scale projects with the agility of a smaller team, ensuring your contributions are both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect / Data Modeler 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 Consortia before they're even advertised!
✨Show Off Your Skills With Projects
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.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Consortia.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Consortia.
We think you need these skills to ace Data Architect / Data Modeler in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Consortia, 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 Consortia, 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 Consortia’s attention and show the tangible impact of your work.
How to prepare for a job interview at Consortia
✨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 Consortia.
✨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 Consortia.
✨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 Consortia.
