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For Companies At a Glance
- 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 delivering innovative data solutions in finance.
- Qualifications: 4+ years in data engineering, strong SQL skills, and experience with BI tools.
- Other info: Collaborative environment with opportunities for growth and learning.
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 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
✨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 to hiring managers. We all know that sometimes it’s not just what you know, but who you know!
✨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. We recommend linking this portfolio in your applications through our website.
✨Tip Number 3
Prepare for those interviews! Research common questions related to data architecture and financial data management. Practice articulating your experience with cloud environments and reconciliation frameworks. We want you to feel confident and ready to impress!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in their minds. Plus, it’s a great opportunity to reiterate why you’re the perfect fit for the Senior Data Analyst & Architect position!
We think you need these skills to ace Senior Data Analyst & Architect
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 match the job description, so don’t be shy about showcasing relevant projects!
Showcase Your SQL Skills: Since strong SQL skills are a must-have, include specific examples of how you've designed data warehouse schemas. We love seeing real-world applications of your skills, so share any challenges you overcame while working with financial data.
Highlight Your BI Tool Experience: If you've worked with BI tools like Looker or Looker Studio, make sure to mention it! We’re interested in how you’ve created dashboards and visualisations that helped stakeholders make informed decisions.
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 don’t miss out on any important updates during the process!
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 engineering and architecture. Brush up on your SQL skills and be ready to discuss your experience with designing data warehouse schemas, especially in BigQuery or similar environments. Being able to articulate your past projects and how they relate to the role will show your expertise.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled challenges in previous roles, particularly around building reconciliation logic and data quality frameworks. Use specific examples that highlight your curiosity and adaptability when faced with complex data issues. This will demonstrate your proactive approach to problem-solving.
✨Visualise Your Impact
Be ready to talk about the dashboards and data visualisations you've created for business stakeholders. Bring examples if possible! This not only shows your technical skills but also your ability to communicate insights effectively, which is crucial for this role.
✨Familiarise Yourself with Financial Context
Since the role involves working with financial data, make sure you understand key concepts related to asset management and financial markets. If you have experience with regulatory reporting or specific finance systems like Clearwater or Aladdin, be prepared to discuss how that knowledge can benefit the team.
