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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко описанная senior-роль в крупной страховой компании с современным стеком Databricks и ответственностью за data-продукты; требование опыта именно в страховании сужает круг подходящих специалистов.
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Engineer (Azure Databricks): Building and maintaining Silver and Gold data transformations, lakehouse data products, semantic-layer outputs, and Power BI reporting for insurance business users with an accent on data modelling, performance, and data quality. Focus on designing medallion architecture in Databricks, resolving upstream data issues, and translating technical trade-offs for underwriters, actuaries, IT, and platform teams.
Location: London, United Kingdom; hybrid work mode
Company
hirify.global, part of Munich Re, provides primary insurance services in the UK through its London Branch.
What you will do
Design, build, and maintain Silver and Gold table transformations in the Azure Databricks lakehouse using agreed medallion architecture principles.
Contribute technical input to data modelling for Silver and Gold layers, ensuring performant models aligned with Munich Re standards.
Investigate and resolve data quality issues from the data intake platform, working with the Platform team on upstream root causes.
Build reusable data products for business consumption, including Databricks Dashboards and Power BI outputs.
Collaborate with Data & BI, IT, Platform, underwriters, actuaries, and other business stakeholders to translate requirements into robust data products.
Support code and modelling reviews, explain technical trade-offs to non-technical audiences, and contribute to Agile/Scrum delivery.
Requirements
Proven experience in a data engineering role within the insurance industry.
Advanced SQL and PySpark skills with hands-on experience building data transformations and data products.
Demonstrable data modelling experience, including practical medallion architecture experience and participation in modelling discussions with IT.
Experience with Databricks and Delta Lake; familiarity with Unity Catalog and semantic-layer or consumption-layer tooling.
Power BI experience, including building and maintaining dashboards and reports.
Ability to balance technical constraints with business urgency, navigate challenging stakeholders, and explain technical work clearly to non-technical audiences.
Experience working across business functions, including with underwriters, actuaries, IT, and Platform teams.
Experience in an Agile/Scrum environment, including backlog refinement and sprint ceremonies; understanding of data governance and version-controlled development workflows.
Understanding of LLMs, AI, and RAG within the insurance industry.
Nice to have
Experience with Databricks Dashboards, Power BI, Unity Catalog, semantic-layer tooling, or Databricks Genie.
Bachelor’s degree in a scientific, mathematical, technical, or business discipline and/or relevant professional or technical qualifications such as Databricks Certified Data Engineer or Azure Data Engineer Associate.
Experience with Delegated Authority and/or Large Single Risk/Specialty insurance business.
Familiarity with dimensional modelling, including star schemas and slowly changing dimensions, in a modern lakehouse environment.
Culture & Benefits
Collaborative work across the Data & BI team, IT, Platform, and wider business.
Expected to act as a subject-matter expert and mentor, sharing knowledge and modelling inclusive behaviour.
Regular work with internal and external business partners, with emphasis on fairness, respect, and clear communication.
Compliance with Munich Re’s Code of Conduct and FCA Conduct Rules is required.
Reasonable adjustments may be requested at any stage of the recruitment process.
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