Haystack

Pricing Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Pricing Data Engineer on a remote contract, offering competitive pay. Key skills required include advanced SQL, Azure Data Factory, and Azure DevOps experience. Strong ability in code optimization and independent work is essential.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
August 8, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
London, England, United Kingdom
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🧠 - Skills detailed
#Azure DevOps #Data Engineering #Version Control #SQL (Structured Query Language) #ADF (Azure Data Factory) #"ETL (Extract #Transform #Load)" #Azure Data Factory #DevOps #Azure #GIT
Role description
We are currently supporting a leading insurance organisation as they look to appoint an experienced professional to support their Pricing team on an interim basis. The Role β€’ Review and rewrite complex SQL code snippets and large-scale codebases β€’ Support the re-code of pricing data extracts in line with agreed templates β€’ Complete end-to-end testing, validation and productionisation of data extracts β€’ Optimise SQL code, query performance and execution plans β€’ Support pipeline execution through Azure Data Factory β€’ Collaborate with pricing stakeholders to ensure data extracts meet business requirements What You'll Need β€’ Advanced SQL experience, including dynamic SQL and code optimisation β€’ Strong experience reviewing, rewriting and testing complex SQL code β€’ Experience with Azure DevOps, including boards and repositories β€’ Experience using Azure Data Factory, including pipelines β€’ Experience with GIT or other version control software β€’ Ability to work independently and deliver quickly within a remote contract environment What's On Offer β€’ Join a leading insurance organisation β€’ Opportunity to work on a critical pricing data project β€’ Remote working flexibility β€’ Exposure to cutting-edge data technologies Apply via Haystack today!