Senior Data Engineer

Bishopsgate
1 week ago
Create job alert

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

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Data Engineering vs. Data Science vs. Data Analytics Jobs: Which Path Should You Choose?

In the modern data-driven era, businesses in every sector—retail, finance, healthcare, and beyond—are constantly gathering large volumes of information to power insights and fuel decision-making. Consequently, the demand for data professionals has skyrocketed, with Data Engineering jobs in particular experiencing rapid growth. However, many job seekers remain unsure about how Data Engineering differs from Data Science or Data Analytics, or which role aligns best with their interests and career aspirations. This comprehensive guide will demystify the key differences among Data Engineering, Data Science, and Data Analytics. We’ll explore overlapping and distinctive skills, delve into typical job responsibilities, discuss salary ranges, and provide real-world examples of each role in action. By the end, you’ll have a clearer understanding of which path might suit you best. And when you’re ready to move forward, visit www.dataengineeringjobs.co.uk to explore the latest vacancies and take the next step in your data-focused career.

Data Engineering Programming Languages for Job Seekers: Which Should You Learn First to Launch Your Career?

In an era where data is fueling decision-making and driving innovation across industries, data engineering has emerged as a pivotal career path. Rather than just collecting and storing information, data engineers design and maintain sophisticated pipelines that transport, transform, and store massive datasets—enabling data scientists, analysts, and business teams to glean meaningful insights. If you’re researching opportunities on www.dataengineering.co.uk, you may be wondering: “Which programming language should I learn first for a career in data engineering?” It’s a great question. Data engineering spans a wide range of tasks—ETL pipelines, real-time streaming, data warehousing, big data frameworks, and more—requiring a versatile toolset. Languages like SQL, Python, Scala, Java, Go, and R each play unique roles in building robust data infrastructures. In this guide, you’ll discover: Detailed overviews of the top programming languages in data engineering. Pros, cons, and industry relevance for each language. A simple beginner’s project to sharpen your data engineering skills. Essential resources and tips to help you thrive in the job market.

UK Visa & Work Permits Explained: Your Essential Guide for International Data Engineering Talent

Data engineering has become a foundational pillar for organisations seeking to leverage their data assets effectively. From building robust data pipelines and integrating real-time analytics to migrating entire infrastructures to the cloud, skilled data engineers drive innovation and growth. In the United Kingdom, demand for data engineering professionals spans multiple sectors, including finance, healthcare, retail, tech start-ups, and government services. However, if you’re an international data engineering specialist looking to build or advance your career in the UK, one critical step stands before you: navigating the visa and work permit landscape. This comprehensive guide breaks down key visa routes, eligibility criteria, and practical steps to help you secure employment and settle into the UK’s thriving data ecosystem. Whether you specialise in ETL processes, big data platforms, or cloud infrastructure, understanding the UK visa system is the first step toward realising your ambitions.