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- Tasks: Design scalable backend systems and build robust data infrastructure for financial pipelines.
- Company: Leading data technology firm in the UK with a focus on innovation.
- Benefits: Competitive rates, fully remote work, and long-term contract opportunities.
- Why this job: Join a dynamic team and shape the future of data technology in finance.
- Qualifications: 4+ years in data engineering, strong SQL skills, and collaborative mindset.
- Other info: Exciting opportunity for career growth in a fast-paced environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading data technology firm in the United Kingdom is seeking a Data Engineer to deliver scalable backend systems and data infrastructure. The ideal candidate will have 4+ years in data engineering, strong SQL and BI tool proficiency, and be collaborative.
Responsibilities include:
- Designing data warehouses in cloud environments
- Building data quality frameworks
This role is fully remote with a long-term contract offering competitive rates.
Remote Senior Data Architect for Financial Pipelines in London employer: Toucanberry Tech Ltd
Contact Detail:
Toucanberry Tech Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Senior Data Architect for Financial Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for a role. You never know who might have the inside scoop on opportunities that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving data warehouses and cloud environments. This will give potential employers a clear picture of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and BI tools. Practice common interview questions related to data architecture and be ready to discuss how you've tackled challenges in previous roles.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find the right fit for your skills and experience. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Remote Senior Data Architect for Financial Pipelines in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with SQL and BI tools. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data architecture and how your collaborative spirit can contribute to our team. Keep it concise but impactful!
Showcase Your Projects: If you've worked on any cool data pipelines or cloud-based data warehouses, make sure to mention them! We love seeing real-world applications of your skills, so include links or descriptions of your work.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at Toucanberry Tech Ltd
✨Know Your Data Inside Out
Make sure you brush up on your data engineering skills, especially SQL and BI tools. Be ready to discuss specific projects where you've designed data warehouses or built data quality frameworks. This will show that you not only understand the theory but have practical experience too.
✨Showcase Your Collaboration Skills
Since this role requires a collaborative spirit, think of examples where you've worked effectively in a team. Prepare to share how you’ve communicated with stakeholders or resolved conflicts, as this will highlight your ability to work well in a remote setting.
✨Prepare for Technical Questions
Expect technical questions related to data architecture and cloud environments. We recommend practising common interview questions and even doing mock interviews with friends or colleagues to build your confidence and ensure you're articulate in your responses.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s data strategy or the tools they use. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
