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Senior Data Engineer / Data Lead at Toucanberry Tech

, , United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

09 Apr, 26

Salary

650.0

Posted On

09 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Architecture, SQL, Data Warehouse, BigQuery, Snowflake, dbt, Financial Markets, Reconciliation Logic, Data Quality, BI Tools, Looker, Python, GCP Services, Automation, Dashboards, Data Visualisations

Industry

Software Development

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 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

Responsibilities

Deliver scalable data infrastructure to automate financial and actuarial processes. Build robust backend systems and data pipelines for a global life reinsurance client.