At a Glance
- Tasks: Lead the Finance Lakehouse team to create secure, scalable data products for finance.
- Company: Join Nationwide Building Society, a leader in finance technology innovation.
- Benefits: Enjoy hybrid work flexibility, competitive salary, and career development opportunities.
- Other info: Be part of a dynamic team driving modern engineering practices.
- Why this job: Shape the future of finance tech and make impactful decisions with AI-driven insights.
- Qualifications: Proven engineering leadership experience and strong collaboration skills.
The predicted salary is between 63000 - 77000 £ per year.
Nationwide Building Society is seeking an E4 Lead Engineer for Finance Lakehouse to shape the future of finance technology.
You will lead the Finance Federated Engineering, delivering secure, scalable data products for reporting, analytics and AI-driven decisions.
As the senior engineering leader, you will set standards, drive modern engineering practices, and manage a multidisciplinary team including suppliers, collaborating with Finance and IT.
Hybrid work is available across the UK.
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Finance Lakehouse Lead Engineer | Hybrid UK employer: Nationwide
At Virgin Money, we pride ourselves on being an exceptional employer, offering a supportive and dynamic work environment in Cleckheaton. Our commitment to employee growth is evident through ongoing training and development opportunities, alongside a competitive benefits package that includes generous holiday allowances, health and wellness resources, and a strong pension plan. Join us to be part of a team that values customer care and community impact, where your contributions are recognised and celebrated.
StudySmarter Expert Advice🤫
We think this is how you could land Finance Lakehouse Lead Engineer | Hybrid UK
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We think you need these skills to ace Finance Lakehouse Lead Engineer | Hybrid UK
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.
