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: Opportunity to work with cutting-edge tools and technologies in a collaborative setting.
- Why this job: Join a dynamic team and shape the future of cloud-based data solutions.
- Qualifications: Strong Azure expertise and experience in data warehousing and BI environments.
We're hiring a hands-on Data Architect to support the evolution of a cloud-based data platform, with a strong focus on data warehousing, analytics, and reporting. You'll work closely with BI Developers to design, build, and optimise end-to-end data solutions across the Azure stack.
Client Details: A well-established UK-based international investment organisation with a global footprint, delivering impactful programmes across multiple regions.
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 SaaS 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 DevOps)
Profile:
- 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 DevOps, Git) and ideally scripting (Python / PySpark)
Job Offer: £700-£800 per day (Inside IR35), Hybrid working (2-3 days in London), Initial 6-month contract with extension potential.
Data Architect(Azure/ BI Focus) in London employer: Michael Page Technology
Join a well-established UK-based international investment organisation that values innovation and collaboration, offering a dynamic work culture where your expertise as a Data Architect will directly contribute to impactful programmes across the globe. With a strong focus on employee growth, you will have access to cutting-edge technologies and the opportunity to work in a hybrid environment, balancing the flexibility of remote work with the vibrant atmosphere of our London office. Enjoy competitive daily rates and the chance to enhance your skills while working alongside talented BI Developers in a supportive and forward-thinking team.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect(Azure/ BI Focus) in London
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We think you need these skills to ace Data Architect(Azure/ BI Focus) in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Michael Page Technology, 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 Technology, 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 Technology’s attention and show the tangible impact of your work.
How to prepare for a job interview at Michael Page Technology
✨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 Technology.
✨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 Technology.
✨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 Technology.
