Schonfeld
1 day ago
Senior Data Platform Engineer
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Company information
- Company
- Schonfeld
- Location
- London Germany
- Posted
- 1 day ago
Job description
The Role
We are seeking a hands-on Senior Data Platform Engineer to build and scale enterprise data services centered on SingleStore Helios and PostgreSQL. You will combine database architecture and production engineering with data pipeline development, data curation, platform migrations, self-service enablement and cost optimization. You will work with teams across regions to deliver reliable, well-governed data services.
What you'll do
- 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: 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, CI/CD pipelines, automated tests, documentation and cross-region handoffs that reduce manual operational work.
What you'll bring
What you need
- 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 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 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.
We'd love if you had
- 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.
Who We Are
Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.
Our Culture
At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.
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Required skills
- kafka
- teamwork
- documentation
- monitoring
- scheduling
- access controls
- sql
- inclusion
- python
- collaboration
- innovation
- apis
- postgresql
- data governance
- infrastructure
- ci/cd pipelines
- infrastructure as code
- observability
- data quality
- portfolio management
- relational databases
- performance tuning
- cost optimization
- learning opportunities
- technical assessments
- community building
- fixed income
- data validation
- production engineering
- hedge fund
- consolidation
- data transformation
- database architecture
- database migrations
- automated tests
- query optimization
- schema design
- indexing
- streaming platforms
- data quality frameworks
- data pipeline development
- data enrichment
- root-cause analysis
- physical data models
- production readiness
- data lineage
- platform migrations
- engineering standards
- distributed databases
- cost allocation
- financial services data
- risk-adjusted returns
- purpose
- cloud finops
- self-service enablement
- api-driven automation
- cloud object storage
- proprietary technology
- risk analytics
- talent retention
- workload design
- external partnerships
- singlestore
- object storage
- showback
- incident triage
- internal networks
- ambitious goals
- data platform engineering
- access requests
- production issues
- application migration
- data curation
- operational guardrails
- database reliability
- enterprise data catalog
- automated provisioning
- recoverability
- delivery workflows
- staging layer
- fundamental equity
- discretionary macro
- batch ingestion
- streaming ingestion
- service initiatives
- deployment controls
- singlestore helios
- workload performance
- cdc ingestion
- service onboarding
- configuration templates
- pipeline deployment
- cloud database spend
- workload right-sizing
- singlestore helios support
- cross-region handoffs
- production-grade pipelines
- cloud-managed databases
- modern data integration
- ingestion layer
- end-to-end technical delivery
- memsql
- metadata integration
- catalog integration
- chargeback reporting
- multi-manager hedge fund
- quant strategy
- tactical strategy
- educational offerings
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