At a Glance
- Tasks: Lead data engineering initiatives, focusing on cloud modernization and AI adoption.
- Company: LexisNexis Risk Solutions, a leader in data-driven solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a dynamic team committed to continuous improvement and cutting-edge technology.
- Why this job: Drive innovation in data engineering and make a significant impact across the UK and Ireland.
- Qualifications: Proven experience in data engineering, cloud technologies, and team leadership.
The predicted salary is between 76500 - 93500 £ per year.
LexisNexis Risk Solutions UK is seeking a Head of Data Engineering to lead the UK&I data engineering function, driving cloud modernization, governance, and AI adoption. You will deliver business-critical data products across the UK and Ireland, partnering with cross-functional teams to balance delivery excellence with long-term technology strategy.
You will oversee data platforms, data governance, and scalable pipelines, while fostering a culture of innovation and continuous improvement.
Head of Data Engineering – Cloud, AI & Governance 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.
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We think this is how you could land Head of Data Engineering – Cloud, AI & Governance in Cardiff
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We think you need these skills to ace Head of Data Engineering – Cloud, AI & Governance in Cardiff
Some tips for your application 🫡
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
