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- Tasks: Design and build cloud-native software solutions on Google Cloud Platform.
- Company: Join a leading company transforming analytics and data processing.
- Benefits: Flexible working options, competitive salary, and career development opportunities.
- Other info: Dynamic hybrid work environment with excellent growth potential.
- Why this job: Make a real impact on large-scale analytics platforms and data-driven capabilities.
- Qualifications: Experience in software engineering, GCP, Python, SQL, and DevOps practices.
The predicted salary is between 72702 - 81000 £ per year.
End Date: Sunday 10 May 2026
Salary Range: £72,702 - £109,053
We support flexible working - click here for more information on flexible working options.
Flexible Working Options: Flexibility in when hours are worked, Job Share.
About this opportunity:
We're looking for a Senior Software Engineer to join our Prudential & Analytics Platform, supporting the transformation of our commercial model execution, analytics engines, and enterprise data warehouse! You'll play a key role in modernising our cloud-native analytics and data processing platforms on Google Cloud Platform (GCP), enabling scalable, reliable and data-driven capabilities that support critical pricing, risk and finance functions across the organisation! This is an opportunity to work on large-scale analytics platforms, data pipelines and data warehouse solutions, using GCP, Python, SQL and modern DevOps practices. Your work will contribute directly to delivering high-quality analytical services used across the Group.
What you'll do:
- Design, build and deliver cloud-native software and data engineering solutions on Google Cloud Platform (GCP).
- Modernise legacy analytics capabilities into automated, observable and scalable cloud services.
- Build and maintain data pipelines, analytics engines and enterprise data warehouse solutions.
- Optimise BigQuery workloads, including performance tuning and cost optimisation.
- Support containerised deployments using Docker and Kubernetes.
- Contribute to CI/CD pipelines, DevOps tooling and automation to improve engineering quality and reliability.
- Collaborate closely with data scientists, analysts, architects and engineering peers.
Senior Software Engineer | Taunton, UK employer: Lloyds Bank plc
Contact Detail:
Lloyds Bank plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer | Taunton, UK
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with online communities. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving GCP, Python, and SQL. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in cloud-native solutions. Practice common interview questions and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Software Engineer | Taunton, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Software Engineer role. Highlight your experience with GCP, Python, SQL, and any relevant DevOps practices. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how you can contribute to our team. Be sure to mention your experience with cloud-native solutions and data engineering.
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. Whether it's building data pipelines or optimising workloads, we love to see real examples of your work and how it relates to what we do.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Lloyds Bank plc
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Google Cloud Platform, Python, SQL, and DevOps practices. Brush up on your knowledge of cloud-native solutions and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in software engineering and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, focusing on your contributions to modernising analytics capabilities or optimising data pipelines.
✨Demonstrate Team Collaboration
Since the role involves working closely with data scientists and engineers, be ready to share examples of successful collaborations. Highlight how you’ve contributed to multi-functional teams and any experience you have with Agile methodologies or CI/CD processes.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to cloud-native solutions and their future projects. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values, especially regarding flexible working options.