Senior Data Engineer, Anti-Fraud Technology

🕒 May 27

🏢🏡 London – Hybrid

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Vanguard

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1975

💸 Finance

🤝 B2B

👥 B2C

💰 $2.5M Secondary Market on 2021-12

Finance • B2B • B2C

Vanguard is a global investment management company known for putting investors at the center of its mission. It offers a wide range of investment products including mutual funds and exchange-traded funds. Vanguard's commitment to its clients is reflected in its culture of teamwork, inclusivity, and long-term results, as well as its focus on fairness and giving investors the best chance for investment success. Vanguard operates with a strong emphasis on embracing diverse perspectives and experiences.

📋 Description

• 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 • 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 • 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 • 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

🎯 Requirements

• Significant experience as a data engineer • Strong proficiency in Python or Java, SQL • 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

• Competitive base salary • Annual performance bonus (January) • Partnership bonus (June) • Comprehensive benefits • Flexible working hours • Hybrid model blends collaboration with flexibility