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- Tasks: Transform financial processes into automated workflows and build scalable data infrastructure.
- Company: Join a leading global life reinsurance client based in Bermuda.
- Benefits: Fully remote work, competitive pay, and long-term contract opportunities.
- Why this job: Make a real impact by automating data pipelines and creating insightful dashboards.
- Qualifications: 4+ years in data engineering, strong SQL skills, and experience with BI tools.
- Other info: Ideal for curious, hard-working individuals who thrive in collaborative environments.
Delivering scalable data infrastructure that transforms manual financial and actuarial processes into automated, auditable workflows. To deliver robust, scalable backend systems and data infrastructure that power automated data pipelines and dashboards for our global life reinsurance client in Bermuda.
Hands on Experience
- Designing and implementing data warehouse schemas in cloud environments (BigQuery preferred)
- Building reconciliation and data quality frameworks for financial data
- Creating dashboards and data visualisations for business stakeholders
- Working with financial instrument identifiers (ISIN, CUSIP), rating agencies, and cross-system data mapping
Must Have Experience
- 4+ years experience in data engineering or data architecture roles
- Strong SQL skills with experience designing data warehouse schemas (BigQuery, Snowflake, or similar)
- Proven experience with dbt for data transformation workflows
- Asset management or financial markets experience (e.g. investment accounting, fund administration, portfolio management)
- Experience building reconciliation logic and data quality frameworks
- Proficiency with BI tools (Looker, Looker Studio, or similar)
Bonus (the nice to haves)
- Insurance or reinsurance industry experience
- Knowledge of Clearwater, Aladdin, and other finance systems
- Familiarity with regulatory reporting (IFRS 17, BSCR, Solvency II)
- Python proficiency for data processing and automation
- Experience with GCP services (Cloud Storage, Pub/Sub, Cloud Run)
Required Behaviours/Characteristics
- Curious: Proactively explores problems and technologies; asks good questions
- Hard-working: Delivers reliably and takes ownership of outcomes
- Adaptable: Comfortable with ambiguity and evolving requirements; learns new domains quickly
- Collaborative: Works effectively with data engineers, analysts, and client stakeholders
- Quality-focused: Writes clean, tested, maintainable code
Fully Remote Outside IR35 Long term contract £600 - £650/Day
Senior Data Analyst & Architect in London employer: Toucanberry Tech Ltd
Contact Detail:
Toucanberry Tech Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst & Architect in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering and architecture space. Attend industry meetups or webinars, and don’t be shy about asking for introductions. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best work, especially any dashboards or data visualisations you've built. This is your chance to demonstrate your SQL prowess and experience with tools like dbt and Looker. Make it easy for potential employers to see what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on common data architecture questions. Be ready to discuss your experience with cloud environments like BigQuery and how you've tackled data quality issues in the past. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the specific role and highlighting your relevant experience.
We think you need these skills to ace Senior Data Analyst & Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and architecture, especially with cloud environments like BigQuery. 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 transforming financial processes and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: When detailing your experience, be specific about your SQL skills and any tools you've used, like dbt or BI tools. We’re looking for solid examples of how you’ve built data quality frameworks or dashboards that made an impact.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and submit your materials!
How to prepare for a job interview at Toucanberry Tech Ltd
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data warehousing and cloud environments, especially BigQuery. Brush up on your SQL skills and be ready to discuss how you've designed schemas in the past. Being able to talk about your hands-on experience with data quality frameworks will definitely impress.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your curiosity and adaptability. Think of situations where you tackled complex data issues or adapted to changing requirements. This will demonstrate your proactive approach and ability to learn quickly, which are key traits for this role.
✨Bring Your Visualisation A-Game
Familiarise yourself with BI tools like Looker or Looker Studio. Be ready to discuss how you’ve created impactful dashboards and visualisations for stakeholders. If you can share specific examples of how your work influenced decision-making, that’ll really set you apart.
✨Understand the Financial Landscape
Since this role involves working with financial instruments and regulatory reporting, brush up on your knowledge of ISINs, CUSIPs, and relevant regulations like IFRS 17. Showing that you understand the financial context will demonstrate your readiness to hit the ground running.
