Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

ADF Python Snowflake Data Engineer Re Insurance £550/day

London
1 year ago
Applications closed

Related Jobs

View all jobs

Azure Data Engineer

Data Engineering Manager

Data Engineer (Azure)

Senior Data Engineer/ Scientist

Machine Learning Operations Engineer – 11328SR

Data Consultant(s) - Data Engineer

Data Engineer | Azure Data Factory and Snowflake and Python | Re-Insurance | Geospatial Data | £550/day Inside IR35 working mainly remote (with 2 days in the office per month) | 6 month Contract | London/City (Remote with Hybrid working 2 days in the London office PER MONTH).

Our client (a reinsurance firm) has a requirement for an experienced Data Engineer to work on the design and implementation of data pipelines using ADF / Azure Data Factory - on long term Geospatial Data projects (initially 6 months).

Your background will be working on large scale data projects in Financial Services (preferably Insurance) and also it would be preferred if you had geospatial data experience.

Azure Data Factory / ADF
Snowflake
Python
Insurance / ReInsurance
Remote with 2 days in London per month

This role would be home based with 2 days in the office each month.

Please do send me your CV to start a conversation around this role.

£550/day Inside IR35. 6 month initial contract.

Home based (2 days in London per month).

Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Adecco Group UK & Ireland is an Equal Opportunities Employer.

By applying for this role your details will be submitted to Adecco. Our Candidate Privacy Information Statement explains how we will use your information - please copy and paste the following link in to your browser

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.