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

Apply Now

Network Engineer (Data)

Howden Group Holdings
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer Coach

Data Engineer

Data Engineer Coach

Who are we?

Howden is a collective – a group of talented and passionate people all around the world. Together, we have pushed the boundaries of insurance. We are united by a shared passion and no-limits mindset, and our strength lies in our ability to collaborate as a powerful international team comprised of 18,000 employees spanning over 100 countries.

People join Howden for many different reasons, but they stay for the same one: our culture. It’s what sets us apart, and the reason our employees have been turning down headhunters for years. Whatever your priorities – work / life balance, career progression, sustainability, volunteering – you’ll find like-minded people driving change at Howden.

Job location: Bedford or London

The Position

We’re looking for aNetwork Engineer (Data)to join our team and help drive forward some of our most challenging and exciting data initiatives. The Network and Data Architect will design, implement, and maintain robust networking and data management solutions for Howden. The ideal candidate will contribute to the development of our overall network infrastructure and data architecture, ensuring scalability, reliability, and security. 

Summary of the role

Howden Group is looking for experienced professional to lead the architecture and design of our data services and assist the group with defining and supporting wider data programmes. As the Data and Networking Architect, you will address technical business needs with innovative, efficient data solutions. You will support the definition of technical and data strategies for our data services and actively anticipate potential future risks and act to prevent them or to mitigate their effects.

Responsibilities

Design and implement enterprise-level network solutions, including LAN, WAN, VPN, and wireless networks, to ensure seamless connectivity and optimal performance. 

Oversee data management and storage systems, including database design, data warehousing, and data governance, to ensure efficient and secure data access and retrieval. 

Analyse network performance, identify areas for improvement, and implement solutions to optimize network efficiency and reliability. 

Develop and implement security protocols and measures to protect sensitive data and ensure compliance with industry standards and regulations. 

Collaborate with cross-functional teams to align network and data strategies with business goals and support advanced analytics and business intelligence initiatives. 

Stay informed about emerging technologies, best practices, and industry trends related to networking and data management, and make recommendations for continuous improvement. 

Align the architecture approach with the overall Group’s architecture strategy.

Requirements

Bachelor's degree in computer science, information technology, or a related field; a master's degree is beneficial. 

Proven experience in designing and implementing complex network and data management solutions in an enterprise environment. 

In-depth knowledge of networking technologies, data management systems, security protocols, and industry best practices.

Strong analytical and problem-solving skills, with the ability to assess complex network and data-related issues and develop effective solutions.

Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and articulate technical concepts to non-technical stakeholders.

What do we offer in return?

A career that you define. At Howden, we value diversity – there is no one Howden type. Instead, we’re looking for individuals who share the same values as us:

Our successes have all come from someone brave enough to try something new

We support each other in the small everyday moments and the bigger challenges

We are determined to make a positive difference at work and beyond

Reasonable adjustments

We're committed to providing reasonable accommodations at Howden to ensure that our positions align well with your needs. Besides the usual adjustments such as software, IT, and office setups, we can also accommodate other changes such as flexible hours* or hybrid working*.

If you're excited by this role but have some doubts about whether it’s the right fit for you, send us your application – if your profile fits the role’s criteria, we will be in touch to assist in helping to get you set up with any reasonable adjustments you may require.

*Not all positions can accommodate changes to working hours or locations. Reach out to your Recruitment Partner if you want to know more.

Permanent

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.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.