At a Glance
- Tasks: Design and deliver innovative data solutions while working remotely.
- Company: Join a forward-thinking client focused on data architecture.
- Benefits: Competitive rate of £600/day, flexible remote work, and short-term contract.
- Other info: Opportunity to lead transformative data initiatives in a dynamic environment.
- Why this job: Shape the future of data with cutting-edge technologies and AI integration.
- Qualifications: Expertise in data architecture, SQL, Python, and cloud technologies required.
Venesky-Brown’s client, is currently looking to recruit a Data Architect for an initial short term contract (20 working days) on a rate of £600/day (Outside IR35).
This role will be remote.
Essential skills
- Expert knowledge of enterprise data and analytics architecture, including data modelling, governance, metadata, lineage, master data management, data quality, interoperability and information architecture.
- Significant experience designing and delivering enterprise data platforms, data warehouses/lakehouses, ETL/ELT processes, APIs, data pipelines and cloud integration solutions.
- Advanced technical skills in SQL, Python, Power BI and enterprise data governance tools.
Strong understanding of AI-enabled data platforms, including Generative AI, Large Language Models (LLMs), AI agents, Vector Search and Retrieval Augmented Generation (RAG), with knowledge of associated governance, security and architectural requirements.
- Proven experience delivering large-scale data transformation programmes using cloud and enterprise technologies such as Microsoft Azure, Microsoft Fabric, Azure Data Services, SQL Server and Snowflake.
- Experience evaluating, selecting and implementing enterprise data, analytics, integration and governance platforms, and developing strategic technology roadmaps.
Desirable skills
- Professional certifications in Microsoft Azure, Microsoft Fabric, Snowflake, TOGAF, CDMP or equivalent industry-recognised frameworks.
- Experience leading enterprise-wide data strategy, governance maturity and AI adoption initiatives within complex organisations.
- Knowledge of semantic modelling, metadata catalogue solutions and advanced analytics ecosystems.
- Experience supporting the adoption of emerging AI and data technologies in highly regulated environments.
Data Architect in Scotland employer: Venesky Brown
Venesky-Brown is an exceptional employer, offering a dynamic work environment in the heart of London, where you can lead significant infrastructure projects that shape the future. With a strong focus on employee growth and development, we provide opportunities for continuous improvement and professional advancement, all while fostering a collaborative culture that values innovation and stakeholder engagement. Join us to be part of a major UK Infrastructure Programme, where your expertise will directly contribute to impactful change in a thriving city.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect in Scotland
✨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 Venesky Brown 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 Venesky Brown.
✨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 Venesky Brown.
We think you need these skills to ace Data Architect in Scotland
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Venesky Brown, 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 Venesky Brown, 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 Venesky Brown’s attention and show the tangible impact of your work.
How to prepare for a job interview at Venesky Brown
✨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 Venesky Brown.
✨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 Venesky Brown.
✨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 Venesky Brown.
