At a Glance
- Tasks: Design and build data architectures on a modern Azure platform, impacting key business programmes.
- Company: Established UK investment organisation with a global presence and impactful projects.
- Benefits: Hybrid working, competitive contract with potential for extension.
- Other info: Opportunity for self-learning and career growth in a collaborative environment.
- Why this job: Join a dynamic team and shape the future of data architecture in a leading organisation.
- Qualifications: Experience in BI data architecture, SQL, Azure technologies, and strong analytical skills.
The predicted salary is between 63000 - 77000 £ 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
As a Data Architect, you will bring your experience in Microsoft Fabric and Azure data technologies to the organisation, and your core responsibilities include:
- Actively delivering work for key business programs advising and supporting the further adoption of the data platform.
- Designing, building and providing guidance for the use and management of data specifically around our data hub, Enterprise Data Warehouse and Power BI and Fabric Analytics and Reporting tools.
- Defining the data technology architecture, model/schema, including metadata, integration and business intelligence or data warehouse architecture.
- Coordinating changes across business change, technology change management process, incident management and problem management process.
- Ensuring traceability of requirements on data through design, build, testing and scope changes.
- Providing input into data dictionaries and the evolution of these and other related data assets such as the organisations Common/Logical Data Model.
- The Successful Applicant
- Background and skills
- Several years of experience in a senior BI data architecture role.
- Expert in dimensional modelling (logical and physical) using Kimball methodology and an excellent understanding of all data concepts, metadata management, data quality management and data governance.
- Proven record working with SQL relational databases, data warehouses, query authoring (SQL) as well as working familiarity with a variety of other databases.
- Highly experienced in building and optimizing data queries. Good with manipulating, processing and preparing datasets/semantic models.
- Experienced in working with data engineering technologies including ADLS, ADF, Azure SQL, and Azure Synapse, Power BI/Fabric and DAX.
- Good working knowledge of languages such as Python/Py Spark.
- Previously created or enhanced CI/CD build and release pipelines using Azure Dev Ops and GI T.
- Knowledge of other scripting languages such as YAML, Power Shell, Terraform etc.
- Competencies and aptitude
- Ability to quickly learn, implement, and utilise new technologies.
- Analytical and problem-solving.
Combines and organises information into meaningful patterns; identifies underlying relationships, causes and effects; and combines pieces of information to form conclusions or general rules.
- Communications. Excellent oral and written communication skills.
- Detail-oriented. Consistently takes a thorough, accurate, organised and quality-centred approach.
- Organisation and prioritising. Can effectively address projects, requests and competing priorities. Owning deliverables through to implementation.
- Self-learning mindset. Desires to learn new skills and is willing to share knowledge with the team.
- Provide problem diagnosis and technical assistance.
- What's on Offer
- Hybrid working (2-3 days in London)
- Initial 6-month contract with extension potential
- Create a job alert for this search
- Data/ BI Architect City of London, England
Data/ Bi Architect in London employer: Page Personnel
As a Tax Manager at our retail organisation, you will thrive in a dynamic work culture that values collaboration and innovation. We offer competitive daily rates, comprehensive benefits, and ample opportunities for professional growth, all within a vibrant location that fosters both personal and career development. Join us to make a meaningful impact while enjoying a supportive environment that prioritises your success.
StudySmarter Expert Advice🤫
We think this is how you could land Data/ Bi Architect in London
✨Tap into Online Data Science Communities
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We think you need these skills to ace Data/ Bi Architect in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Page Personnel, 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 Page Personnel, 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 Page Personnel’s attention and show the tangible impact of your work.
How to prepare for a job interview at Page Personnel
✨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 Page Personnel.
✨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 Page Personnel.
✨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 Page Personnel.
