13 days ago
London, United KingdomSenior
Responsibilities
- Design, develop, and optimize SingleStore and PostgreSQL schemas, SQL queries, physical data models, indexes, and workload performance.
- Build and maintain batch, streaming, and CDC ingestion pipelines with validation, transformation, enrichment, and data curation.
- Lead technical assessments, migrations, and onboarding for applications, data workloads, teams, and services moving to SingleStore.
- Build self-service onboarding capabilities with APIs, configuration templates, automated provisioning, access requests, pipeline deployment, and operational guardrails.
- Optimize cloud database spend through workload right-sizing, consolidation, scheduling, performance tuning, and transparent cost allocation and showback.
- Own production readiness and database reliability, including monitoring, incident triage, root-cause analysis, recoverability, deployment controls, and support collaboration.
- Integrate data quality, lineage, ownership, and access controls into delivery workflows with data catalog and governance teams.
- Create engineering standards, automated tests, documentation, and cross-region handoffs that reduce manual operational work.
Requirements
- 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, batch and CDC data integration patterns, and cloud object storage as an ingestion or staging layer.
- Ability to own end-to-end technical delivery, collaborate with application teams, and independently solve complex production issues.
- Preferred experience with SingleStore or SingleStore Helios, including pipelines, performance tuning, and workload design.
- Preferred experience with Kafka or similar streaming platforms, infrastructure as code, CI/CD, and API-driven platform automation.
- Preferred experience building self-service data platforms, data quality frameworks, metadata or catalog integrations, and chargeback or showback reporting.
- Preferred experience with cloud FinOps, database migrations, or financial-services enterprise data.
Benefits
- Learning and educational offerings are provided.
- Employees can participate in internal networks, external partnerships, and service initiatives promoting inclusion and purpose.
Tech Stack
Categories
Data Engineering
About Schonfeld
Schonfeld is a privately held, multi-manager hedge fund that allocates capital to internal and external portfolio managers across quantitative, fundamental equity, tactical trading, and discretionary macro/fixed-income strategies. The firm manages money for institutional and other sophisticated investors and supports teams with proprietary technology, infrastructure, and risk analytics. Founded in 1988 and headquartered in New York, it operates globally with an investing footprint spanning five continents.