Senior Data Engineer - AntiFraud Technology (Vanguard Europe)

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 cloudnative technology that detects prevents and responds to emerging threats across the UK and Europe.

As a Senior Data Engineer youll join a highly skilled cybersecurityfocused development team delivering realtime 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 youll do

Data Engineering & RealTime Systems

• Design and implement realtime 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 eventdriven solutions using technologies such as Apache Kafka and Apache Flink.

Engineering Excellence

• Write highquality testable maintainable code in Python or Java with strong SQL capability.

• Contribute to solution design code reviews automated testing and documentation.

• Apply industryleading engineering standards with a focus on code quality consistency and resilience.

Cloud DevOps & Operations

• Build and maintain cloud infrastructure using AWS and InfrastructureasCode 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 were looking for

• 5 years of experience as a data engineer.

• Strong proficiency in Python or Java SQL cloud environments (preferably AWS).

• Handson 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 nontechnical audiences.

• Understanding of agile development; scrum experience preferred.

• A continuous learning mindset and willingness to expand both technical and nontechnical skills.

• A degree in a STEM field is beneficial but not required.

Why ES&F at Vanguard

ES&F is where security engineering fraud prevention and advanced data technology converge. Youll join a missiondriven group that blends deep technical expertise with realworld impact:

• Purposeful work: Every pipeline every event stream and every decisioning workflow contributes directly to protecting investors from financial harm.

• Serious scale: Work with highvolume behavioural transactional and eventdriven datasets across multiple markets.

• Cuttingedge tooling: We invest in cloudnative realtime and streaming architectures - this is not legacy data warehousing.

• Strong engineering culture: Thoughtful design quality code operational excellence and continuous improvement are nonnegotiable.

• Collaborative environment: Partner daily with security specialists fraud analysts architects and data scientists.

If you want your engineering skills to translate into realworld protection for millions of people ES&F offers that rare blend of technical depth and meaningful purpose.

Interview Process

Our selection process is designed to be transparent inclusive and technically fair:

• Technical conversation with senior engineers

• Handson coding exercise

• Competencybased interview focused on collaboration ownership and problemsolving

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.