At a Glance
- Tasks: Shape and deliver a scalable enterprise data platform using Databricks and Azure.
- Company: Leading property and real estate organisation with innovative projects.
- Benefits: Competitive daily rate, hybrid work model, and opportunity for long-term engagement.
- Other info: Dynamic role with opportunities for professional growth in a collaborative environment.
- Why this job: Join a major Finance Data Lake programme and make a significant impact.
- Qualifications: Expertise in Data Architecture, Data Modelling, and Databricks required.
The predicted salary is between 70000 - 90000 £ per year.
Location: London (hybrid)
Rate: £600-£650 per day (via umbrella)
Duration: Initial 6 months+
Robert Half are supporting a leading property and real estate organisation on a major Finance Data Lake and Data Transformation programme and are looking for an experienced Data Architect to join the team. This role requires a hands-on Data Architect with deep expertise across Databricks, Data Modelling, Data Engineering frameworks, DevOps and Azure.
The successful candidate will be responsible for helping shape and deliver a scalable enterprise data platform, driving best practice architecture and engineering standards.
Key Requirements:- Strong Data Architecture background
- Expert-level Data Modelling skills
- Databricks Data Engineering experience
- Experience implementing Databricks Solution Accelerators and Data Engineering Frameworks
- Azure Data Platform expertise
- DevOps / CI/CD experience within data environments
- Strong stakeholder engagement and solution design capabilities
- Experience delivering enterprise-scale data lake initiatives
- Finance Data Lake programme experience
- Lead Data Engineering background
Data Architect (Azure, Databricks, Data Modelling) employer: Robert Half
At Robert Half, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As an IT Project Manager, you'll have the opportunity to lead transformative projects in a highly regulated environment, supported by a team that values professional growth and development. With competitive benefits and a commitment to employee well-being, we ensure that our team members thrive both personally and professionally in their roles.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect (Azure, Databricks, Data Modelling)
✨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 Robert Half 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 Robert Half.
✨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 Robert Half.
We think you need these skills to ace Data Architect (Azure, Databricks, Data Modelling)
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Robert Half, 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 Robert Half, 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 Robert Half’s attention and show the tangible impact of your work.
How to prepare for a job interview at Robert Half
✨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 Robert Half.
✨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 Robert Half.
✨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 Robert Half.
