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McGregor Boyall hiring Data Engineer

McGregor Boyall

Greater London, England, United Kingdom 2026-01-31 Est. GBP 40k–70k

Estimated salary range

40% confidence

Source: Estimated from market data

40,000 GBP 70,000
Estimate based on location data. Verify with employer. How we estimate this →

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Data, AI and Cloud Engineer - Python Location: London Industry: Finance Working Arrangement: Hybrid Working Primary Languages: Python The Opportunity A highly regarded advisory firm is investing heavily in its technology and innovation capability to support long term growth across data, analytics, and client facing digital products. What You Will Actually Be Working On Building and evolving a cloud agnostic data and AI platform using modern open source technologies Taking AI and GenAI solutions…

Job description

Data, AI and Cloud Engineer - Python Location: London Industry: Finance Working Arrangement: Hybrid Working Primary Languages: Python The Opportunity A highly regarded advisory firm is investing heavily in its technology and innovation capability to support long term growth across data, analytics, and client facing digital products. What You Will Actually Be Working On Building and evolving a cloud agnostic data and AI platform using modern open source technologies Taking AI and GenAI solutions out of proof of concept and into secure, scalable production Developing and enhancing client facing digital products, dashboards, and AI driven insights Automating manual and inefficient processes using AI and RPA tooling Modernising legacy systems into resilient, API first architectures Embedding security, governance, and regulatory controls into platform design from day one Partnering with business leaders to turn data into commercial outcomes Key experience includes: Strong Python development with solid object oriented design Cloud and platform engineering using Kubernetes, serverless, CI CD, and infrastructure as code Data engineering concepts including ETL or ELT, streaming, metadata, and data quality Exposure to ML, GenAI, or MLOps in production environments Relational databases and SQL Experience working in regulated or security conscious environments is advantageous Hands on use of AI tools such as custom GPTs, chatbots, or workflow automation What Sets This Apart Ownership over platforms, not just features Real influence on architectural and tooling decisions A team that values engineering judgement and long term thinking Broad exposure across cloud, data, AI, and client products A culture that backs learning, experimentation, and progression Show less

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