Data Engineer, Investment Services
Point72 Asset Management - Warsaw
Posted Aug 29, 2025
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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Schedule
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- Weekend work
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Application
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Data Engineer, Investment Services Warsaw A Career with Point72's AI/ML - Investment Services Team The AI/ML - Investment Services team at Point72 spearheads the development of cutting-edge AI solutions that seek to transform our business processes and enhance enterprise intelligence. The team aims to bridge the gap between business challenges and technological innovation, collaborating with stakeholders across the firm and leveraging expertise in generative AI, data engineering, and machine learning. WHAT YOU'LL DO - Design and build scalable, high-performance backend systems that power investment services and AI-driven applications, and own their end-to-end lifecycle - Build and operate robust data pipelines for batch and streaming workloads to ingest, transform, validate, and deliver data to models and downstream consumers - Integrate and productionize generative AI capabilities and large language model solutions, including model serving, embeddings, and API-based workflows to augment investment workflows - Implement and maintain microservices and APIs that expose data and model functionality with a focus on reliability, low latency, and security - Optimize system performance and resilience through monitoring, observability, capacity planning, and automated incident response - Lead cross-functional delivery of prototypes into production by collaborating with data scientists, researchers, product owners, and operations teams - Build and maintain CI/CD pipelines, automated testing, and deployment practices to accelerate safe delivery and rollback of services - Mentor and coach engineers on backend and data engineering best practices, help grow engineering capability, and contribute to the technical roadmap - Collaborate with security, compliance, and infrastructure partners to ensure data governance, access
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