Senior Data Engineer, Anti-Fraud Technology

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., * 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., * 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.

This Senior Data Engineer role sits within Vanguard Europe's Enterprise Security & Fraud (ES&F) team, building advanced, cloud-native data pipelines and real-time systems that protect clients from fraud and financial crime. The position combines hands-on engineering - spanning ELT development, streaming architectures, IaC, testing, deployment, and operations - with close collaboration across product, engineering, and agile teams. It requires deep experience in Python/Java, SQL, AWS, Kafka/Flink, and data transformation frameworks, with an emphasis on high-quality engineering practices, continuous improvement, and innovative problem-solving in a cybersecurity-focused environment.

This Senior Data Engineer role sits within Vanguard Europe's Enterprise Security & Fraud (ES&F) team, building advanced, cloud-native data pipelines and real-time systems that protect clients from fraud and financial crime. The position combines hands-on engineering - spanning ELT development, streaming architectures, IaC, testing, deployment, and operations - with close collaboration across product, engineering, and agile teams. It requires deep experience in Python/Java, SQL, AWS, Kafka/Flink, and data transformation frameworks, with an emphasis on high-quality engineering practices, continuous improvement, and innovative problem-solving in a cybersecurity-focused environment., * 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.

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.

ES&F is where security engineering, fraud prevention, and advanced data technology converge. You'll join a mission-driven group that blends deep technical expertise with real-world impact: * 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., 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.