At a Glance
- Tasks: Shape and deliver a scalable enterprise data platform using Databricks and Azure.
- Company: Leading property and real estate organisation with a focus on innovation.
- Benefits: Competitive daily rate, hybrid work model, and opportunity for professional growth.
- Other info: Dynamic role with opportunities to engage in large transformation programmes.
- 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 72000 - 88000 £ 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
Desirable:
- Finance Data Lake programme experience
- Lead Data Engineering background
- Experience working within large transformation programmes
Data Architect (Azure, Databricks, Data Modelling) in London 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) in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Architect (Azure, Databricks, Data Modelling) in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Robert Half, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Robert Half. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Robert Half
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Robert Half!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
