At a Glance
- Tasks: Lead a dynamic team in modernising data platforms and driving cloud transformation.
- Company: Join LexisNexis Risk Solutions, a leader in risk assessment technology.
- Benefits: Enjoy competitive pay, career development, and a supportive work environment.
- Other info: Collaborate globally and foster a culture of innovation and continuous improvement.
- Why this job: Make a real impact by delivering innovative data solutions at scale.
- Qualifications: Experience in data engineering and strong leadership skills required.
The predicted salary is between 75600 - 92400 £ per year.
Are you a strategic technology leader who is passionate about modernising data platforms, leading high-performing teams, and delivering impactful data solutions at scale? Do you thrive on driving cloud transformation, strengthening data governance, and advancing AI adoption while partnering with stakeholders across a global organisation?
About the Business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Insurance vertical, we provide customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our insurance risk solutions help drive better data-driven decisions across the insurance policy lifecycle, all while reducing risk.
About our Team: The UK&I Data Engineering organization designs, builds, validates, governs, and operates data products supporting Business Services and Insurance solutions. The team is responsible for data onboarding, engineering delivery, cloud modernization, data governance, production operations, quality assurance, and regulatory compliance while partnering closely with Product, Architecture, Operations, Security, and Analytics teams.
About the Role: As Head of Data Engineering, you will provide leadership, strategic direction, and operational oversight for the UK&I Data Engineering team. You will play a key role in driving cloud modernisation, strengthening governance and security practices, accelerating AI adoption, and ensuring the successful delivery of business-critical data products that support business growth and customer outcomes. Working across global teams and stakeholders, you will balance delivery excellence with long-term technology strategy, fostering a culture of innovation, collaboration, and continuous improvement.
Responsibilities:
- Lead and support data engineers, ensuring clear priorities and consistent delivery
- Build a culture of accountability, collaboration, continuous improvement, and innovation
- Support career development, succession planning, talent acquisition, and workforce planning
- Foster knowledge sharing and engineering excellence practices across US and UK teams
- Oversee delivery of data products, ingestion pipelines, reporting solutions, and customer-facing capabilities
- Lead cloud migration and modernisation initiatives leveraging Azure, Databricks, cloud-native services, and modern data architectures
- Ensure adherence to data governance, privacy, security, compliance, and regulatory requirements
- Partner with Product, Analytics, Architecture, Operations, and Business Leaders to deliver scalable technical solutions
Requirements:
- Experience in Data Engineering, Analytics Engineering, Data Platforms, or related technology disciplines
- Leadership experience managing technical teams
- Strong expertise in modern data engineering practices, data architecture, and large-scale data platforms
- Experience delivering cloud-based solutions, preferably using Azure technologies
- Strong understanding of data governance, privacy, security, compliance, and risk management requirements
- Experience leading strategic initiatives and complex cross-functional programs
- Strong communication, stakeholder management, and organisational leadership skills
- Demonstrated ability to balance delivery execution with long-term technology strategy
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
Manager Software Engineering in Cardiff employer: LexisNexis Risk Solutions
At ICIS, we pride ourselves on being an exceptional employer, fostering a collaborative and innovative work culture that empowers our employees to thrive. As a Data Governance Coordinator, you will be part of a multidisciplinary team dedicated to maximising the value of data, with ample opportunities for professional growth and development. Our commitment to employee well-being is reflected in our comprehensive benefits package tailored to your location, ensuring a supportive environment where you can make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Manager Software Engineering in Cardiff
✨Join Local Tech Meetups
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We think you need these skills to ace Manager Software Engineering in Cardiff
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at LexisNexis Risk Solutions.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at LexisNexis Risk Solutions and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at LexisNexis Risk Solutions
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If LexisNexis Risk Solutions uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
