Job Description

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

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