National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

VP Engineering

London
1 week ago
Create job alert

Role: VP Engineering/AVP Engineering

Location: London, UK

Contract position- Initially 6 months

Mandatory: Excellent work experience with Insurance domain.

Roles and Responsibilities

  • Ownership of the strategic vision and roadmap for all products within their domain.

  • Establishes the contribution that technology can make to business objectives, conducting feasibility studies, producing high-level business models, and preparing business cases.

  • Ensures compliance between business strategies, enterprise transformation activities and technology directions, setting strategies, policies, standards and practices.

  • Responsible for effective and timely development of new and/or enhanced systems/technologies.

  • Monitors all aspects of the Software Development Lifecycle and Production Support service levels. Ensures high level technical support is provided.

  • Works closely with customers, other IT managers, and management to identify and maximize opportunities to use technology to improve business processes.

  • Prepares business cases, including financial analyses of potential new technologies/systems/applications. Evaluates based on company strategic needs and resource availability.

  • Oversees business analysis, development work and quality assurance of projects for assigned systems/technologies.

  • Contributes to the development of information technology development standards, policies, processes and procedures to ensure consistent compatibility and integration throughout the company.

  • Continuously reviews the technology needs of supported business functions/processes relative to new technological developments and trends. Keeps abreast of the industry and emerging technology

    Skills

  1. Broad knowledge of software development techniques, processes, methods and best practices. Proficiency with various programming languages.

  2. Knowledge of application test automation products, processes, and best practices

  3. Proven experience and strong understanding of Agile development and conventional method and its application to company technology needs.

  4. Excellent communication and interpersonal skills to effectively lead and motivate team.

  5. Excellent interpersonal, communication, presentation & consultative skills for effective collaboration with senior management.

  6. Good general business acumen.

  7. Thorough knowledge of databases technologies, both relational (such as Oracle, SQL Server and PostgreSQL) and non-relational database technologies as such as Memcached, MongoDB and Redis.

  8. Experience with Insurance / Reinsurance Systems and Data.

    High level knowledge/expertise of Front-end development such as: ReactJS, Webpack, HTML5, CSS, Bootstrap, jQuery, Accessibility and Responsive Layouts UI/UX development experience

Related Jobs

View all jobs

Manager, Data & Analytics, Global Insight

National AI Awards 2025

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.

How to Find Hidden Data Engineering Jobs in the UK Using Professional Bodies like BCS, IET & More

As UK organisations continue to scale their data capabilities, the role of the data engineer has become one of the most vital in the digital economy. From designing pipelines and managing infrastructure to enabling machine learning models, data engineers are the backbone of every data-driven organisation. But while demand is high, the most rewarding roles are often never posted publicly. In this article, we’ll show you how to discover hidden data engineering jobs in the UK by strategically engaging with professional bodies like the BCS, IET, TechUK, and UK data communities. By joining specialist groups, attending CPD events, and using member directories, you can unlock a wave of unseen job leads—and connect with hiring managers long before roles are advertised.

How to Get a Better Data Engineering Job After a Lay-Off or Redundancy

Redundancy can be unexpected and unsettling, especially in a field as technically demanding as data engineering. But the good news is: your skills are still in high demand. The UK continues to see strong growth in data infrastructure, cloud analytics, machine learning pipelines, and data governance roles. Whether you're a big data engineer, ETL specialist, cloud data platform expert, or someone working in real-time streaming and pipelines, there are new opportunities to rebuild and rebrand your career. This guide is designed to help UK-based data engineers bounce back after a redundancy, with a step-by-step roadmap to relaunch into a stronger, better-aligned role.

Data Engineering Jobs Salary Calculator 2025: Work Out Your True Worth in Seconds

Why last year’s pay survey misleads data engineers today Ask any Data Engineer elbow‑deep in late‑arriving CDC streams, an Analytics Engineer stockpiling dbt models, or a DataOps Lead juggling Airflow failures: “Am I earning what I deserve?” The answer changes monthly. New GPU‑hungry AI workloads spike storage costs, lakehouse toolchains displace legacy marts, & suddenly real‑time streaming isn’t “nice to have” but the lion’s share of your backlog. Each shift nudges salary bands. A PDF salary guide printed in 2024 under‑reports pay the moment Databricks announces another acquisition or HMRC mandates digital provenance. To provide an up‑to‑date benchmark, DataEngineeringJobs.co.uk distilled a transparent, three‑factor formula. Plug in your discipline, UK region, & seniority; out pops a realistic 2025 salary. No stale averages, no guesswork. This article unpacks the formula, details the forces pushing data‑engineering pay upward, & offers five practical actions to lift your value in the next ninety days.