Senior Data Engineer

Bishopsgate
3 weeks 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.

Contract vs Permanent Data Science Jobs: Which Pays Better in 2025?

Data science sits at the intersection of statistics, machine learning, and domain expertise, driving crucial business decisions in almost every sector. As UK organisations leverage AI for predictive analytics, customer insights, and automation, data scientists have become some of the most in-demand professionals in the tech job market. By 2025, data scientists with expertise in deep learning, natural language processing (NLP), and MLOps are commanding top-tier compensation packages. However, deciding whether to become a day‑rate contractor, a fixed-term contract (FTC) employee, or a permanent member of an organisation can be challenging. Each path offers a unique blend of earning potential, career progression, and work–life balance. This guide will walk you through the UK data science job market in 2025, examine the differences between these three employment models, present sample take‑home pay scenarios, and offer strategic considerations to help you determine the best fit for your career.

Data Science Jobs for Non‑Technical Professionals: Where Do You Fit In?

Beyond Jupyter Notebooks Ask most people what a data‑science career looks like and they’ll picture Python wizards optimising XGBoost hyper‑parameters. The truth? Britain’s data‑driven firms need storytellers, strategists, ethicists and project leaders every bit as much as they need statisticians. The Open Data Institute’s UK Data Skills Gap 2024 places demand for non‑technical data talent at 42 % of all data‑science vacancies—roles focused on turning model outputs into business value and trustworthy decisions. This guide highlights the fastest‑growing non‑coding roles, the transferable skills many professionals already have, and a 90‑day action plan to land a data‑science job—no pandas required.

McKinsey & Company Data‑Science Jobs in 2025: Your Complete UK Guide to Turning Data into Impact

When CEOs need to unlock billion‑pound efficiencies or launch AI‑first products, they often call McKinsey & Company. What many graduates don’t realise is that behind every famous strategy deck sits a global network of data scientists, engineers and AI practitioners—unified under QuantumBlack, AI by McKinsey. From optimising Formula One pit stops to reducing NHS wait times, McKinsey’s analytics teams turn messy data into operational gold. With the launch of the McKinsey AI Studio in late 2024 and sustained demand for GenAI strategy, the firm is growing its UK analytics headcount faster than ever. The McKinsey careers portal lists 350+ open analytics roles worldwide, over 120 in the UK, spanning data science, machine‑learning engineering, data engineering, product management and AI consulting. Whether you love Python notebooks, Airflow DAGs, or white‑boarding an LLM governance roadmap for a FTSE 100 board, this guide details how to land a McKinsey data‑science job in 2025.