Lead data platform efforts with 7-10 years in data engineering/analytics. Build and optimize ETL/ELT pipelines, data models, and production data operations; apply strong SQL/Python debugging and guide engineers. Must have insurance domain expertise (policy, claims, bordereaux, underwriting, pricing, billing, exposure, loss).
- 7–10 years of experience in data engineering, data analytics, or data platform delivery, with strong hands-on experience in SQL, Python, ETL/ELT development, data modelling, and production data operations.
- Mandatory insurance domain experience, preferably in general insurance or commercial insurance, with working knowledge of policy, claims, bordereaux, underwriting, pricing, billing, exposure, and loss data.
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Strong ability to review and debug SQL and Python code, optimise data transformations, assess logic, identify gaps, and guide engineers toward scalable and reusable solutions.
Responsibilities
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Experience in commercial insurance or general insurance data, including reporting, bordereaux, workers’ compensation, or regulatory/operational reporting.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, Engineering, Mathematics, Statistics, Actuarial Science, or a related quantitative discipline.
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