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

Apply Now

Data Engineer

P&I Insurance Services
City of London
1 month ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Overview

Join to apply for the Data Engineer role at P&I Insurance Services.

Get AI-powered advice on this job and more exclusive features.

  • We're Hiring: Data Engineer - Insurance Data & Power BI
  • Location: London, UK (Hybrid)
  • Industry: Insurance / London Market
  • Type: Full-time
What you'll be doing
  • Collaborate with the Lead Data Engineer and Business Analysts to define and deliver data solutions
  • Design and support a star schema-based data warehouse
  • Perform application data modelling and develop internal/external data integrations
  • Build insightful and actionable Power BI dashboards and reports
  • Provide proactive data support services to business users
  • Support the integration of business systems and data
  • Develop robust reconciliation and unit testing processes
  • Document solutions, processes, and technical decisions clearly
Technical Skills
  • Strong SQL Server and T-SQL expertise
  • Deep understanding of data warehouse (DWH) modelling and star schema design
  • Hands-on experience with Azure Data Factory, Pipelines, and Fabric
  • Proficient with Power BI dashboard/report development
  • Familiar with DevOps, Git, and modern CI/CD practices
  • Solid understanding of insurance data - including both syndicate and company markets
Professional Skills
  • Strong communication and interpersonal abilities
  • Excellent documentation and organisation skills
  • Self-motivated with the ability to independently manage tasks and deadlines
  • Detail-oriented with a commitment to high-quality deliverables
  • Proven problem-solving and solution-design capabilities
  • Comfortable analysing data to inform requirements and decision-making
Domain Knowledge
  • London Market / insurance experience (required)
  • Understanding of application databases, testing, and reconciliation procedures
  • Experience working with international teams/projects is a plus
Seniority level
  • Entry level
Employment type
  • Full-time
Job function
  • Information Technology
Industries
  • Operations Consulting


#J-18808-Ljbffr

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.