At a Glance
- Tasks: Join a global fraud team, focusing on engineering and financial crime solutions.
- Company: Work with a leading financial institution tackling cybersecurity and fraud.
- Benefits: Enjoy a hybrid work model, competitive salary, bonuses, and great perks.
- Other info: No financial crime experience needed; training provided for the right candidates.
- Why this job: Make a real impact in financial crime prevention while developing your engineering skills.
- Qualifications: Strong full-stack engineering experience, preferably in Python or JavaScript; cloud knowledge is a plus.
The predicted salary is between 40000 - 56000 £ per year.
I’m currently representing a financial institution that is looking to bridge the gap between cybersecurity and data to fight financial crime and fraud. They are looking for data/software engineers with strong experience in engineering integrating databases and generating insights to fight financial crimes.
Location: Greater Manchester or Knutsford (Hybrid – 2 days on-site per week)
Salary: £50,000 - £67,000 base + bonus & benefits
What’s the Role?
I’m looking for a Software and Data Engineer to join my client’s global fraud team. This role is a mix of 80% engineering and 20% financial crime & service marketing, ideal for someone passionate about building scalable solutions in a fast-paced, high-impact environment.
What Makes You a Great Fit?
- Strong full-stack engineering background (Python or JavaScript preferred)
- Experience with large data sets and data engineering pipelines
- Cloud expertise is a huge plus (AWS, Snowflake, Databricks)
- Thrives in an agile/start-up-like environment with minimal red tape
- Strong stakeholder management skills – this role operates across Barclays’ sub-divisions
Key Tech & Skills:
- Cloud: Deployed data automation & microservices
- Databases: Structured & unstructured data
- Development: Python automation & application development
- CI/CD: Pipeline integration & deployment
Financial Crime Experience? Not required! My client is happy to upskill candidates in fraud prevention and financial crime if they bring the right engineering mindset.
This is a fantastic opportunity to work at the intersection of cybersecurity and financial crime prevention, with a fantastic globally recognized financial institution. If this sounds like you, I encourage you to apply!
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data/Software Engineer in Bolton
✨Tip Number 1
Familiarise yourself with the latest trends in cybersecurity and financial crime prevention. Understanding the current landscape will help you engage in meaningful conversations during interviews and demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the financial sector, especially those working in fraud prevention or data engineering. Attend industry events or join relevant online forums to connect with potential colleagues and learn more about the challenges they face.
✨Tip Number 3
Showcase your experience with cloud technologies and data engineering pipelines by preparing examples of past projects. Be ready to discuss how you've used tools like AWS or Snowflake to solve complex problems, as this will highlight your technical expertise.
✨Tip Number 4
Brush up on your full-stack development skills, particularly in Python or JavaScript. Being able to demonstrate your coding abilities through practical examples or even a small project can set you apart from other candidates.
We think you need these skills to ace Senior Data/Software Engineer in Bolton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your full-stack engineering experience, particularly with Python or JavaScript. Emphasise any work you've done with large data sets and cloud technologies like AWS or Snowflake.
Craft a Compelling Cover Letter:In your cover letter, express your passion for building scalable solutions and your interest in the intersection of cybersecurity and financial crime prevention. Mention how your skills align with the role's requirements.
Showcase Relevant Projects:If you have worked on projects involving data engineering pipelines or cloud deployments, be sure to include these in your application. Provide specific examples of how you contributed to the success of these projects.
Highlight Stakeholder Management Skills:Since this role involves working across various sub-divisions, make sure to mention any experience you have in stakeholder management. This could include collaboration with different teams or departments to achieve project goals.
How to prepare for a job interview at Iceberg
✨Showcase Your Engineering Skills
Be prepared to discuss your full-stack engineering experience, particularly with Python or JavaScript. Highlight specific projects where you've integrated databases and built scalable solutions, as this will demonstrate your technical prowess.
✨Demonstrate Data Handling Expertise
Since the role involves working with large data sets, be ready to talk about your experience with data engineering pipelines. Discuss any relevant tools or technologies you've used, especially in cloud environments like AWS or Snowflake.
✨Emphasise Agile Experience
This position thrives in an agile environment, so share examples of how you've successfully worked in fast-paced settings. Talk about your adaptability and how you handle minimal red tape while delivering results.
✨Prepare for Stakeholder Management Questions
Given that this role requires strong stakeholder management skills, think of instances where you've effectively communicated and collaborated with different teams. Be ready to explain how you can bridge gaps between technical and non-technical stakeholders.
