At a Glance
- Tasks: Design and enhance data architectures, build data pipelines, and support BI developers.
- Company: A leading UK-based investment organisation with a global impact.
- Benefits: Competitive daily rate, hybrid working, and potential for contract extension.
- Other info: Exciting opportunity to work with cutting-edge technologies in a collaborative environment.
- Why this job: Join a dynamic team and make a real difference in data-driven decision-making.
- Qualifications: Hands-on experience in data architecture, strong Azure skills, and SQL expertise.
The predicted salary is between 60750 - 74250 £ per year.
- Hands-on architecture role with real delivery impact
- Work closely with developers on a modern Azure data platform
- About Our Client
A well-established UK-based international investment organisation with a global footprint, delivering impactful programmes across multiple regions.
Job Description
- Design and enhance Enterprise Data Warehouse and data hub architectures
- Build and support end-to-end data pipelines (ingestion transformation reporting) using Azure services
- Work hands-on with tools including ADF, Synapse, ADLS and Microsoft Fabric
- Develop and optimise dimensional data models (Kimball / star schema) for analytics and reporting
- Provide technical guidance and support to BI Developers during delivery (non-managerial)
- Contribute to Power BI / semantic layer design to support enterprise reporting
- Support integration of data from multiple Saa S and third-party systems
- Ensure best practices across data quality, governance, metadata, and performance optimisation
- Maintain documentation including data models, data dictionaries, and architecture diagrams
- Assist with CI/CD pipelines and deployment processes (Azure Dev Ops)
- The Successful Applicant
- Proven experience as a hands-on Data Architect or Senior Data Engineer operating at architecture level - strong Azure expertise across:
- Azure Data Factory (ADF)
- Azure Synapse / Azure SQL
- Azure Data Lake (ADLS)
- Exposure to Microsoft Fabric (highly desirable)
- Strong background in data warehousing and BI environments
- Excellent dimensional modelling (Kimball) experience
- Experience working closely with BI / reporting teams (Power BI, semantic models, DAX)
- Confident working across end-to-end data pipelines and integration patterns
- Strong SQL skills with experience optimising queries and datasets
- Comfortable guiding and supporting developers without formal leadership responsibility
- Exposure to metadata management, data governance, and data quality frameworks
- Experience with CI/CD (Azure Dev Ops, Gi t) and ideally scripting (Python / Py Spark)
- What's on Offer
- Hybrid working (2-3 days in London)
- Initial 6-month contract with extension potential
- Job summary
- Job function
- Technology
- Subsector
- IT Architecture
- Sector
- Financial Services
- Where
- City of London
- Contract type
- Temporary
- Consultant name
- Hannah Kelly
- Consultant phone
- Job reference
- JN-
- #J-18808-Ljbffr
BI Architect in London employer: Michael Page Finance
This thriving technology company in Yorkshire is an excellent employer, offering a supportive and inclusive culture that prioritises employee development and innovation. With opportunities for professional growth and the potential for the Interim Financial Accountant role to transition into a permanent position, employees can thrive in a dynamic environment while enjoying the benefits of remote working.
StudySmarter Expert Advice🤫
We think this is how you could land BI Architect 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 Michael Page Finance 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 Michael Page Finance.
✨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 Michael Page Finance.
We think you need these skills to ace BI Architect in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Michael Page Finance, 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 Michael Page Finance, 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 Michael Page Finance’s attention and show the tangible impact of your work.
How to prepare for a job interview at Michael Page Finance
✨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 Michael Page Finance.
✨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 Michael Page Finance.
✨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 Michael Page Finance.
