Qh4 Consulting

AI Data Engineer - Snowflake

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Data Engineer - Snowflake, offering a contract longer than 6 months at a pay rate of "unknown" in London. Key skills include LLMs, Microsoft tools, and experience in AI-driven solutions, preferably in financial services.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
960
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πŸ—“οΈ - Date
May 2, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
On-site
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πŸ“„ - Contract
Inside IR35
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Python #Scala #AI (Artificial Intelligence) #Consulting #ChatGPT #Snowflake #Scripting #API (Application Programming Interface) #Data Engineering #"ETL (Extract #Transform #Load)" #Automation
Role description
Contract - Inside IR35 - | London | Full-Time The Firm A leading UK-based private markets investment platform with a strong international presence is seeking to build out its applied AI capabilities. The firm manages significant institutional capital and is investing in technology to enhance productivity, decision-making, and operational efficiency across the business. The Role This is a hands-on role at the intersection of AI, automation, and business processes. You will work closely with non-technical teams to identify high-impact use cases and implement practical AI-driven solutions using existing enterprise tools and platforms. The focus is on taking early-stage ideas and prototypes and turning them into scalable, production-ready workflows that deliver measurable efficiency gains. Key Responsibilities β€’ Partner with business teams to identify and prioritise AI and automation opportunities β€’ Translate business requirements into practical solutions using LLMs and workflow tools β€’ Design and implement AI-enabled workflows, automations, and internal tools β€’ Support the rollout and adoption of AI tools across the organisation β€’ Build lightweight integrations and solutions using scripting where required β€’ Contribute to the development of best practices around AI usage and governance Technology Environment β€’ Enterprise LLM tools (e.g. ChatGPT, Claude or similar) β€’ Microsoft ecosystem (Microsoft 365, Copilot, Power Platform) β€’ Data platforms such as Snowflake β€’ API integrations and lightweight scripting (e.g. Python) Candidate Profile β€’ 1–4 years’ experience in a hands-on, implementation-focused role (e.g. consulting, technology, or transformation) β€’ Demonstrated experience delivering AI, automation, or workflow solutions in a business environment β€’ Strong ability to engage with non-technical stakeholders and translate requirements into technical solutions β€’ Familiarity with LLMs, prompting, and practical AI use cases β€’ Experience with Microsoft tools (Copilot, Power Platform) and/or modern data platforms preferred β€’ Background in financial services or similarly complex environments is beneficial but not essential What This Role Offers β€’ Opportunity to shape and deliver AI adoption within a high-quality investment platform β€’ High visibility role working closely with senior stakeholders β€’ Broad exposure across business functions and real-world AI applications β€’ A dynamic environment where the role can evolve as the platform matures