Senior Data & AI Engineer — View of Risk Advisory

AON

Praha, Prague, Czech RepublicHybridFull-timeNo compensation foundPosted 1mo agoSeen in employer's feed 5 days ago

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At a glance

Compensation

No compensation found

Location

Praha, Prague, Czech RepublicHybrid

Schedule

Full-time

Work Authorization

Not specified

Job overview

AON is hiring a Senior Data & AI Engineer — View of Risk Advisory. Aon is seeking a Senior Data & AI Engineer to join its View of Risk Advisory team. This role involves designing and delivering scalable data and AI solutions, connecting complex catastrophe model outputs, scientific research, and technical documentation. The engineer will work with structured and unstructured data, and AI-assisted workflows to help global teams make better decisions.

Key focus areas include Design and deliver scalable data and AI solutions, Connect complex catastrophe model outputs, scientific research and technical documentation, and Work across structured data, unstructured content and AI-assisted workflows.

Successful candidates bring Experience Building And Operating ETL/ELT Pipelines, Experience Creating And Managing Analytical Data Products, and Exposure To Document Ingestion, Indexing, Search/Retrieval Systems Or Knowledge Management. Important skills include Databricks, Apache Spark, Delta Lake, Advanced SQL, Analytical Querying, and SQL Optimization. Preferred (not required): AI-Enabled Workflows and ML-Enabled Workflows.

Skills & qualifications

RequiredNice to have

Skills

DatabricksApache SparkDelta LakeAdvanced SQLAnalytical QueryingSQL OptimizationData ModellingPython DevelopmentTestingVersion ControlEngineering Best PracticesETL/ELT PipelinesAPIDatabasesThird-Party DataAnalytical Data ProductsDocument IngestionIndexingSearch/Retrieval SystemsKnowledge ManagementAI-Enabled WorkflowsML-Enabled WorkflowsLLM-Enabled WorkflowsCuriosityStrong Data Engineering SkillsAbility to Learn Complex Domains

Qualifications

Experience Building and Operating ETL/ELT PipelinesExperience Creating and Managing Analytical Data ProductsExposure to Document Ingestion, Indexing, Search/Retrieval Systems or Knowledge ManagementFamiliarity With AI/ML/LLM-Enabled WorkflowsInsurance or Reinsurance Analytics BackgroundCatastrophe Modelling BackgroundClimate or Earth Sciences BackgroundGeospatial Analytics BackgroundFinancial Analytics BackgroundQuantitative Disciplines BackgroundCatastrophe Modelling Experience

Benefits

401(k) Match

Full job description

Join Aon’s View of Risk Advisory team to build the next generation of data, analytics and AI tools used by risk professionals worldwide.

This is a full-time hybrid role with the flexibility to work both virtually and from our Prague office.

What the day will look like

You’ll design and deliver scalable data and AI solutions that connect complex catastrophe model outputs, scientific research and technical documentation with the people who need them.
Working across structured data, unstructured content and AI-assisted workflows, you’ll help our global teams make better, faster decisions.
You’ll collaborate with Data Engineers, Scientists, Analysts and Catastrophe Modellers, using modern cloud analytics platforms to build robust data pipelines, analytical data products and retrieval systems for model and document intelligence.
You’ll also integrate LLM and AI capabilities into real-world analytical workflows.

How this opportunity is different

Being part of Aon means working in a driven, encouraging, and friendly environment that values integrity, authenticity, and a can‑do approach, within a global leader in the attractive reinsurance industry and its regional headquarters in Prague. We offer flexible working, modern offices in the city centre, home office options, and an attractive compensation package including pension scheme contributions, in‑office massages, language courses, ergonomic tables, sick days, and more.

Skills and experience that will lead to success

Strong experience with Databricks, Apache Spark and Delta Lake
Advanced SQL for analytical querying, optimisation and data modelling
Strong Python development skills (testing, version control, engineering best practices)
Proven track record building and operating ETL/ELT pipelines from APIs, databases and third-party data
Experience creating and managing analytical data products
Exposure to document ingestion, indexing, search/retrieval systems or knowledge management
Familiarity with AI / ML / LLM-enabled workflows and interest in applying them to real-world risk problems

We welcome candidates from a range of analytical and technical backgrounds, including insurance or reinsurance analytics, catastrophe modelling, climate or earth sciences, geospatial analytics, financial analytics and other quantitative disciplines. Catastrophe modelling experience is an advantage but not essential – curiosity, strong data engineering skills and the ability to learn complex domains matter most.

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2026-104295