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Schonfeld

Manages funds across global trading strategies

Senior Data Platform Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listedIn-person

About the Job

Requirements

  • At least 7 years of hands-on experience in data platform engineering, database engineering, or closely related production data roles.
  • Advanced SQL and PostgreSQL expertise, including query plans, schema design, performance tuning, and operational troubleshooting.
  • Strong Python skills and practical experience developing production-grade ingestion and transformation pipelines, with testing and observability.
  • Experience with distributed or cloud-managed databases and modern data integration patterns, including batch and change data capture (CDC); familiarity with cloud object storage as an ingestion and staging layer.
  • Ability to own end-to-end technical delivery, collaborate with application teams, and solve complex production issues independently.

Responsibilities

  • Design, develop, and optimize SingleStore and PostgreSQL schemas, SQL queries, physical data models, indexing, and workload performance.
  • Build and maintain reliable batch, streaming, and CDC ingestion pipelines from relational databases, object storage, and other enterprise sources into SingleStore; implement validation, transformation, enrichment, and data curation.
  • Lead technical assessments and migrations of existing applications and data workloads to SingleStore, while onboarding new teams, applications, and services.
  • Build reusable self-service onboarding capabilities, including APIs, configuration templates, automated provisioning, access requests, pipeline deployment, and operational guardrails.
  • Optimize cloud database spend through workload right-sizing, consolidation, scheduling, and performance tuning; develop transparent SingleStore cluster, application, and team-level cost allocation and showback.
  • Own production readiness and database reliability, including monitoring, incident triage, root-cause analysis, recoverability, deployment controls, and collaboration with SingleStore Helios support.
  • Integrate data quality, lineage, ownership, and access controls into delivery workflows; work with the enterprise data catalog and governance teams.
  • Create engineering standards, continuous integration and continuous delivery (CI/CD) pipelines, automated tests, documentation, and cross-region handoffs that reduce manual operational work.

Desired Qualifications

  • Hands-on SingleStore (MemSQL) or SingleStore Helios experience, including pipelines, performance tuning, and workload design.
  • Kafka or similar streaming platforms, infrastructure as code, CI/CD, and API-driven platform automation.
  • Experience building self-service data platforms, data quality frameworks, metadata/catalog integrations, and chargeback/showback reporting.
  • Experience with cloud FinOps, database migrations, or financial-services enterprise data.

About the Company

Schonfeld

Manages funds across global trading strategies

Schonfeld manages private investment funds that trade across global markets, combining computer-driven strategies with decisions made by investment teams. Its four core approaches cover quantitative investing, fundamental stock selection, tactical trading, and discretionary macro and fixed income. Teams use detailed market research and proprietary systems to identify opportunities in stocks, currencies, bonds and related instruments, with centralized infrastructure supporting trading and risk management. The firm earns fees tied to assets under management and investment performance. Schonfeld was founded in 1988 and is headquartered in New York City, United States.

Company size
201-500
Company stage
Not listed
Total funding
$1.5B
Headquarters
New York City, New York
Founded
1988

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