Senior Data Engineer

Bishopsgate
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior RF Data Scientist / Research Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Data Science Consultant

Senior Data Engineer

Leading Insurance Firm – London (5 days a week in the office) – Up to £130,000 + Strong Benefits

Azure – Python – CI/CD

Are you a Senior Data Engineer looking for a high-impact role in a dynamic and fast-paced environment? Do you thrive in stand-alone positions where you can shape the future of data architecture while collaborating with a wider team? If so, this is an opportunity you will not want to miss.

Our client, a leading London-based insurance firm, is searching for a highly skilled Senior Data Engineer to join their underwriting team. You will play a critical role in the development of their analytics platform, focusing on building scalable data pipelines and robust data models to support business-critical insights.

Key Responsibilities:

  • Design, build, and optimise high-performance data pipelines and data models.

  • Take ownership of the data engineering function within the underwriting analytics team, bringing fresh ideas and innovation to the table.

  • Work extensively with the Microsoft stack, including Fabric—experience in this is a strong advantage.

  • Implement and maintain CI/CD pipelines to streamline data workflows and deployments.

  • Handle large volumes of data efficiently in a fast-paced environment, ensuring accuracy, scalability, and performance.

  • Collaborate closely with underwriters, data scientists, and other key stakeholders to deliver best-in-class data solutions.

    Key Requirements:

  • Strong expertise in Azure, with experience in building and managing data solutions within the Azure ecosystem.

  • Proven experience as a Senior Data Engineer, with a strong track record of building and maintaining scalable data pipelines and data models.

  • Deep expertise in working with the Microsoft data stack, with experience in Fabric being highly desirable.

  • Strong knowledge of CI/CD pipelines and best practices for automating data engineering workflows.

  • Experience in handling and processing large datasets efficiently in high-performance environments.

  • Background in financial services or insurance is strongly preferred.

  • Ability to work independently in a stand-alone data engineering role while contributing to a broader team effort.

  • A problem-solving mindset with a passion for driving innovation in data architecture and analytics.

  • Strong proficiency in Python, with experience in data processing, transformation, and automation.

    Why Apply?

  • Work in a pivotal role where your contributions will shape the future of the underwriting analytics platform.

  • Join a highly respected insurance firm that values data-driven decision-making.

  • Competitive base salary of up to £130,000 plus a strong benefits package.

  • Work in a collaborative environment where innovation and fresh ideas are encouraged.

  • Be part of an organisation that works with cutting-edge data technologies and large-scale datasets.

    This role requires five days a week in the London office, offering an opportunity to work closely with a talented team in a highly collaborative setting.

    If you are an ambitious Senior Data Engineer looking for a role where you can make a real impact, apply now to explore this exciting opportunity

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.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.