Quantitative Software Engineer - Data Engineering Ourclient is a leading proprietary trading firm that is seeking aQuantitative Software Engineer to join their Front Office DataEngineering team in London. The firm's team integrates innovativetechnology and trading strategies while utilizing a sophisticatedresearch platform and development environment to realize consistenttrading alphas. As a Quant Data Engineer, you'll collaborateclosely with various departments within the organization and yourprimary responsibility will involve constructing and maintainingdata ingestion processes of varying complexity that driveinvestment decisions and support critical operations. In thisdynamic role, you'll also be involved in developing and managingthe platforms, tools, and systems essential for running andmonitoring these processes. The ideal candidate will thrive in afast-paced environment, enjoy direct interaction with businessstakeholders, and excel at delivering results under pressure.Responsibilities: - Be a key player in the newly established andfast-growing Data Engineering team, driving the future of datainnovation across the company. - Spearheaded the design andexpansion of a cutting-edge data platform, seamlessly integratingdiverse data sources for real-time, operational, andresearch-driven insights. - Partner with Trading, Quant,Technology, and Business Operations teams to deliver high-impactdata projects that shape our competitive edge. - Architect anddeploy advanced batch and streaming data pipelines usingKubernetes/EKS, Kafka/MSK, and Databricks/Spark within a dynamichybrid cloud environment. - Inspire and mentor junior engineers,setting the standard for excellence in software and dataengineering practices. - Craft clean, robust, and meticulouslydocumented code, ensuring the reliability of mission-criticalapplications. - Lead the creation of automated data validationsuites, upholding the highest standards of data quality,availability, and accuracy in line with strict SLAs. Requirements& Qualifications: - Years of professional experience insoftware application development from a tier 1 investment bank,hedge fund, or proprietary trading firm. - Proficiency inJava/Scala is essential; Python experience is a strong advantage. -Self-driven and ready to take ownership of impactful projects fromday one. - Hands-on experience with data platforms and technologieslike Delta Lake, Spark, Kubernetes, Kafka, ClickHouse, and/orPresto/Trino. - Proven track record of building large-scale batchand streaming pipelines with stringent SLA and data qualitystandards. - Strong communication, analytical, and problem-solvingabilities. - Experience working with diverse data sets andframeworks across various domains; financial data experience is aplus but not required. - Recent hands-on experience with AWS Clouddevelopment, deployment, and monitoring. - Demonstrated success inworking on Agile teams using software engineering best practiceslike GitOps and CI/CD for complex projects. Excellent opportunitywith a high-performing trading team rewarding package on offer withhigh growth career progression. For a confidential conversation,please reach out to: .