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- Tasks: Design and implement scalable data infrastructure for automated financial workflows.
- Company: Join a leading firm in life reinsurance, based in Bermuda.
- Benefits: Fully remote work, competitive pay, and long-term contract opportunities.
- Why this job: Transform financial processes with cutting-edge data solutions and make a real impact.
- Qualifications: 4+ years in data engineering, strong SQL skills, and experience with BI tools.
- Other info: Collaborative environment with opportunities to learn and grow in the finance sector.
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.
Responsibilities
- 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
Requirements 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
Benefits
- Fully Remote
- Outside IR35
- Long term contract
- £600 - £650/Day
Senior Data Analyst & Architect in London employer: Toucanberry Tech
Contact Detail:
Toucanberry Tech 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 financial sectors. Attend industry meetups or webinars to meet potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisations, dashboards, and any projects you've worked on. This will give you an edge when chatting with hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data warehousing knowledge. Be ready to discuss your experience with BigQuery and dbt, as well as how you've tackled data quality issues in the past.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes it easier for us to keep track of your application.
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. Use keywords from the job description, like 'data warehouse schemas' and 'SQL skills', to show we’re on the same page.
Showcase Your Projects: Include specific examples of projects where you’ve built data pipelines or dashboards. We love seeing how you've tackled real-world problems, especially in financial contexts!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you’re excited about the role and how your background fits. Don’t forget to mention any relevant tools like dbt or BI tools you’ve used.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to see your application and get you into our system quickly. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Toucanberry Tech
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data engineering and architecture. Brush up on your SQL skills, especially with BigQuery, and be ready to discuss your experience designing data warehouse schemas. Prepare examples of how you've built reconciliation logic and data quality frameworks.
✨Showcase Your Problem-Solving Skills
Since the role requires a curious mindset, come prepared with examples of how you've tackled complex data challenges in the past. Think about times when you had to adapt to new technologies or requirements and how you approached those situations.
✨Demonstrate Your Collaborative Spirit
This position involves working closely with various stakeholders, so highlight your teamwork experiences. Be ready to discuss how you’ve collaborated with data engineers, analysts, and business stakeholders to deliver successful projects.
✨Prepare for Technical Questions
Expect technical questions related to data processing, automation, and BI tools like Looker. Brush up on your knowledge of financial instruments and regulatory reporting, as these topics may come up during the interview. Practice articulating your thought process clearly.
