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Point72

Manages alternative investments across global markets

Data Engineer - Investment Services

Data EngineeringConfirmed live in the last 24 hours
Full-timeWarsaw, PolandNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in computer science, software engineering, or a related technical field is required.
  • At least 5 years of professional software engineering experience focused on backend system engineering is required.
  • Experience building production data pipelines or data engineering solutions for batch and streaming data is required.
  • Demonstrated experience developing or integrating generative artificial intelligence and large language model solutions, such as model serving, embedding pipelines, fine-tuning workflows, or production integration with model application programming interfaces, is required.
  • Strong programming skills in one or more backend languages such as Java, Python, or Go, with demonstrated ability to design maintainable code and services, are required.
  • Experience deploying and operating services on cloud platforms and container platforms using Docker and container orchestration technologies is required.
  • Proven experience building continuous integration/continuous delivery pipelines, automated testing, and infrastructure-as-code for service deployments is required.
  • Strong data skills, including SQL, data modeling, and experience with relational and non-relational data stores, are required.
  • Excellent verbal and written communication skills in English and the ability to collaborate with technical and non-technical stakeholders are required.
  • Commitment to the highest ethical standards is required.

Responsibilities

  • 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, focusing 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 controls, and operational controls are integrated into solutions.

About the Company

Point72

Manages alternative investments across global markets

Point72 manages alternative investment funds for investors seeking actively managed exposure to public and private markets. Its investment teams research companies, analyze market data and trade across equities, currencies, fixed income and other assets through fundamental, systematic and macro strategies. Cubist is its systematic investing business, while separate teams pursue venture capital and private credit opportunities. The firm provides portfolio managers with research, technology, risk management and operational support, and earns advisory fees and performance-based compensation under each fund's terms. Point72 was founded in 2014 and is headquartered in Stamford, Connecticut.

Company size
1,001-5,000
Company stage
Private
Total funding
$10.3B
Headquarters
Stamford, CT
Founded
2014

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