Senior Full Stack Engineer (Python & Next.js) with Data Integration
New
E
EPAMInvestment data
Opportunity to work remotely within PolandFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English proficiency at B2 level or higher
- Experience
- 7+ years of experience with Python, FastAPI, Next.js, React, TypeScript, SQL, and Docker
- Required Skills
- DockerPythonSQLKafkaKubernetesTypeScriptFastAPINext.jsReact
Requirements
- Have 7+ years of experience with Python, FastAPI, Next.js, React, TypeScript, SQL, and Docker.
- Have experience designing and implementing RESTful APIs and Kafka-based event-driven integrations.
- Know SQL and relational databases; PostgreSQL, Microsoft SQL Server, or equivalent is preferred.
- Have experience with data modeling, data validation, and integration patterns.
- Have experience with data integration, ETL/ELT, and Python data pipelines.
- Have working experience with Kubernetes clusters and containerized applications using Ubuntu-based images.
- Demonstrate a commitment to test automation, including unit and manual integration testing.
- Have experience working in agile teams on complex, high-stakes applications.
- Have system design expertise across microservices, database modeling, and API design.
- Have English proficiency at B2 level or higher.
- Be comfortable collaborating with teams across the globe and participating in code reviews and peer learning.
- Be familiar with Atlassian tools such as Jira and Confluence.
- Nice to have: experience with GitHub Actions, Jira–GitHub integrations, and DevOps best practices.
- Nice to have: prior exposure to financial services or capital markets.
Responsibilities
- Design, develop, and maintain full-stack applications for reference data management and investment-related workflows.
- Build backend services, APIs, and data-processing components.
- Develop frontend interfaces for data management, validation, search, review, and operational workflows.
- Deliver data integration solutions for entity, portfolio, and security reference data.
- Establish data relationships between investment entities, funds, portfolios, securities, issuers, counterparties, and related financial instruments.
- Support reference data onboarding, enrichment, validation, approval, reconciliation, and downstream distribution.
- Collaborate with investment and operations stakeholders to understand reference data needs across the investment lifecycle.
- Design RESTful APIs and event-driven integrations, and integrate reference data services with internal platforms, data warehouses, and enterprise applications.
- Implement data transformation, validation, and synchronization processes across systems.
- Lead refactoring and redesign initiatives with attention to resiliency, compliance, and auditability.
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