Senior Data Engineer - Anti‑Fraud Technology (Vanguard Europe)
Location: London (Hybrid: Tue - Thu in office, Mon/Fri remote)
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.
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.
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
- Significant 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.
Benefits
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.
