At a Glance
- Tasks: Shape and deliver enterprise-wide data strategy in a leading investment bank.
- Company: Join a top global investment bank with a strong market presence.
- Benefits: Competitive salary, bonuses, pension, and flexible hybrid working.
- Other info: Inclusive culture that values diversity and fosters professional growth.
- Why this job: Influence data strategy at the intersection of technology and finance.
- Qualifications: Experience in data architecture, cloud technologies, and capital markets data.
The predicted salary is between 72000 - 88000 £ per year.
Our client is a leading global investment bank with a strong presence across financial markets and commodities. They are now looking for an experienced Data Architect to help shape and deliver their enterprise-wide data strategy, working across business and technology teams to ensure data remains a strategic asset across the organisation.
The successful Data Architect will have strong experience across enterprise data architecture and strategy, Business Intelligence and Data Warehouse platforms, Master Data Management, Data Integration and OLTP database solutions, alongside a solid understanding of Capital Markets data domains including Trade, Sensitivities and Market Data.
You will play a key role in defining data architecture principles, standards and governance, while designing solutions that support both current and future business requirements. The role will involve working closely with senior Business and IT stakeholders, developing data models and architecture artefacts, and ensuring data is managed with the required levels of quality, integrity, security and traceability.
Strong experience across cloud and on-premise data technologies is required, with exposure to RDBMS, NoSQL, Data Lakes, AWS Glue, EMR and Azure Data Factory particularly valuable. You will also have a good understanding of data warehousing, ETL/ELT, data integration, data lineage and the wider data engineering landscape.
Our client puts people first, giving talented, self-driven professionals the flexibility, rewards and freedom to develop their expertise and realise their potential. They foster an open and transparent culture that values difference and are committed to creating an inclusive working environment.
If you're excited by the opportunity to influence enterprise data strategy within a sophisticated global investment bank, working at the intersection of data, technology and financial markets, then this could be an excellent opportunity to take your career to the next level.
Location: London, UK / Hybrid Working
Salary: Competitive + Bonus + Pension + Benefits
Hybrid: 3-days a week in the offices. Applicants must be based in the UK and have the right to work in the UK, even though hybrid working is available.
To apply for this position please send your CV to Sunny Bhalla at Noir Consulting.
Data Architect in London employer: Noir Careers
Join a leading financial services organisation in London that prioritises innovation and employee development. With a collaborative work culture, you will have access to continuous learning opportunities and the chance to shape technology strategies that drive business success. Enjoy the benefits of a hybrid working model, competitive remuneration, and a supportive environment that values your expertise and contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Noir Careers!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Architect at Noir Careers.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Noir Careers.
✨Apply Directly through Our Website
When you find a suitable opening like Data Architect at Noir Careers, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Architect 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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Noir Careers, 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 Noir Careers. 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 Noir Careers
✨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!
✨Showcase Your Projects
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 Noir Careers!
✨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.
