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For Companies At a Glance
- Tasks: Design real-time data pipelines to combat fraud and enhance client security.
- Company: Join Vanguard, a leader in asset management with a mission to protect clients.
- Benefits: Competitive salary, performance bonuses, and comprehensive benefits in a hybrid work model.
- Why this job: Make a real-world impact by safeguarding millions from financial crime.
- Qualifications: 5+ years in data engineering, strong Python/Java skills, and cloud experience.
- Other info: Collaborative environment with opportunities for continuous learning and growth.
The predicted salary is between 43200 - 72000 £ per year.
Location: London (Hybrid: Tue - Thu in office, Mon/Fri remote)
Make an impact where it matters most. Vanguard manages more than $11 trillion in assets worldwide, and with that scale comes a deep responsibility: safeguarding our clients from fraud and financial crime. Our Enterprise Security & Fraud (ES&F) team sits at the heart of this mission. We build advanced, cloud-native technology that detects, prevents, and responds to emerging threats across the UK and Europe. As a Senior Data Engineer, you’ll join a highly skilled, cybersecurity-focused development team delivering real-time data pipelines, decisioning systems, and tooling that protect hundreds of thousands of clients. If you want to apply your engineering expertise to problems with genuine societal and financial impact, this is the place to do it.
What you’ll do
- Data Engineering & Real-Time Systems: Design and implement real-time data pipelines that power fraud detection and operational decision making. Build robust ELT workflows from source ingestion through to data presentation for internal stakeholders. Develop event-driven solutions using technologies such as Apache Kafka and Apache Flink.
- Engineering Excellence: Write high-quality, testable, maintainable code in Python or Java, with strong SQL capability. Contribute to solution design, code reviews, automated testing, and documentation. Apply industry-leading engineering standards with a focus on code quality, consistency, and resilience.
- Cloud, DevOps & Operations: Build and maintain cloud infrastructure using AWS and Infrastructure-as-Code tooling (CloudFormation/Terraform). Own deployment and operational support across development, test, and production environments. Champion continuous improvement across tooling, processes, and engineering practices.
- Collaboration & Agile Delivery: Partner closely with developers, product owners, scrum masters, and analysts to ensure data enables an exceptional client experience. Participate fully in agile ceremonies including sprint planning, daily scrums, reviews, and retrospectives.
What we’re looking for
- 5+ years of experience as a data engineer.
- Strong proficiency in Python or Java, SQL, cloud environments (preferably AWS).
- Hands-on experience with Kafka and streaming frameworks such as Flink.
- Proficiency with data transformation tools (PySpark, Pandas).
- Familiarity with data quality frameworks (e.g., Great Expectations).
- Experience with graph databases is a plus.
- Exposure to building cloud infrastructure via IaC.
- Excellent communication skills, able to translate complex topics for technical and non-technical audiences.
- Understanding of agile development; scrum experience preferred.
- A continuous learning mindset and willingness to expand both technical and non-technical skills.
- A degree in a STEM field is beneficial but not required.
Why ES&F at Vanguard?
- Purposeful work: Every pipeline, every event stream, and every decisioning workflow contributes directly to protecting investors from financial harm.
- Serious scale: Work with high-volume behavioural, transactional, and event-driven datasets across multiple markets.
- Cutting-edge tooling: We invest in cloud-native, real-time, and streaming architectures - this is not legacy data warehousing.
- Strong engineering culture: Thoughtful design, quality code, operational excellence, and continuous improvement are non-negotiable.
- Collaborative environment: Partner daily with security specialists, fraud analysts, architects, and data scientists.
If you want your engineering skills to translate into real-world protection for millions of people, ES&F offers that rare blend of technical depth and meaningful purpose.
Interview Process
- Technical conversation with senior engineers
- Hands-on coding exercise
- Competency-based interview focused on collaboration, ownership, and problem-solving
Working at Vanguard
We offer a competitive base salary, annual performance bonus (January), partnership bonus (June), and comprehensive benefits. Our hybrid model blends collaboration with flexibility: in office Tuesday-Thursday, remote on Monday and Friday.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
Senior Data Engineer, Anti-Fraud Technology in Manchester employer: Vanguard
Contact Detail:
Vanguard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer, Anti-Fraud Technology in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees at Vanguard or in the anti-fraud tech space. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for those technical interviews! Brush up on your Python, Java, and SQL skills. Practice coding challenges and be ready to discuss your past projects, especially those involving real-time data pipelines and cloud infrastructure.
✨Tip Number 3
Show off your collaboration skills! During interviews, highlight experiences where you worked closely with cross-functional teams. Vanguard values teamwork, so make sure they see how you can contribute to their collaborative environment.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Vanguard team and making an impact in anti-fraud technology.
We think you need these skills to ace Senior Data Engineer, Anti-Fraud Technology in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with Python or Java and SQL. We want to see how your skills align with our mission in anti-fraud technology!
Showcase Your Projects: Include specific examples of projects where you've built real-time data pipelines or worked with technologies like Kafka and Flink. This helps us understand your hands-on experience and problem-solving skills.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language to explain complex topics, as we value communication skills just as much as technical expertise.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our ES&F team.
How to prepare for a job interview at Vanguard
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, Java, SQL, and cloud environments like AWS. Brush up on your knowledge of Apache Kafka and Flink, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex data engineering challenges. Think about how you’ve designed real-time data pipelines or improved existing workflows, and be ready to explain your thought process clearly.
✨Emphasise Collaboration
Since the role involves working closely with various teams, highlight your experience in agile environments and your ability to communicate complex topics to both technical and non-technical audiences. Be prepared to share examples of successful collaborations.
✨Practice Coding Exercises
Expect a hands-on coding exercise during the interview. Practice coding problems that involve data manipulation and pipeline creation. Use platforms like LeetCode or HackerRank to sharpen your skills and get comfortable with coding under pressure.