Senior Software Engineer (Market Data Platform)
IT Services and IT Consulting · 201-500 employees
About the role
The role involves leading the development of Java-based market data services and improving data ingestion, transformation, and validation workflows. You will also be responsible for integrating third-party vendor feeds and modernizing legacy systems toward data lake architectures.
What they look for
Requirements
Candidates must have at least 5 years of software engineering experience with a strong background in Java and relational database management. Proficiency in debugging complex production systems and experience with financial market data platforms are essential for this role.
Full description
We are seeking a highly skilled Senior Software Engineer, Market Data Platform to join a mission-critical client project, acting as a bridge between complex business requirements and scalable technical execution. In this role, you will work across a large family of internally developed software solutions supporting market data ingestion, transformation, validation, documentation, and serving. You will operate across Java services, SQL Server–backed workflows, file-based processing, and vendor integrations while helping modernize the platform for the future.
About First Factory
We are a software development company with over two decades of experience, boasting a dynamic team of 175+ professionals actively engaged in diverse projects across various industries. We invite you to join us on this journey as we thrive and embrace fresh challenges.
Main responsibilities
- Lead development across Java services, libraries, utilities, and web applications supporting market data systems.
- Drive improvements to data ingestion, transformation, validation, and serving workflows across Linux file-system-driven pipelines.
- Work with SQL Server schemas, data structures, and operational databases to manage batch jobs, loaders, updaters, and scheduler-driven workflows.
- Integrate third-party market data vendor feeds (including Refinitiv, Bloomberg, Haver, S&P, MSCI) and normalize reference/market data.
- Support market data ingestion and serving to client-facing processes and internal data products.
- Debug complex production issues across code, data, and infrastructure boundaries to protect business-critical data logic.
- Safely refactor legacy systems and build shared framework code used across multiple repositories and product areas.
- Develop and maintain formula engines, rule processing systems, and proprietary DSL-style code.
- Improve automated testing around parsing, calculations, and data correctness.
- Partner with engineering leadership to evolve the platform toward modern data lake architectures and AI integrations.
- Document key systems, processes, and market data serving platforms.
- Monitor industry trends and directions to help modernize platform architecture and technical practices.
Requirements
- 5+ years of extensive software engineering experience.
- Strong hands-on Java development background building backend services, libraries, and applications.
- Proficient with SQL Server or relational databases, including writing/refactoring efficient SQL queries and schema design.
- Experience with production backend systems involving databases, file-based processing workflows, and data pipelines.
- Strong debugging, system design, and problem-solving skills across complex production systems.
- Ability to work effectively across multiple repositories and shared framework libraries.
- Excellent analytical thinking, interpersonal, and communication skills with strong technical ownership.
Preferred Skills
- Deep experience with market data platforms and financial datasets (time-series data, constituent/membership sets, vendor data normalization, and point-in-time correctness).
- Familiarity with vendor ecosystems such as Refinitiv, Bloomberg, Haver, FactSet, Markit, or MSCI.
- Experience modernizing legacy Java or database-heavy systems into modern architectures.
- Exposure to data lake architectures, cloud platforms (AWS/GCP), and orchestration tools like Apache Airflow.
- Exposure to data governance, catalog, and discovery tools (e.g., Apache Polaris, OpenMetadata).
- Experience with formula engines, rule processing, or internal DSLs.
- Experience interfacing with AI platforms as a source or consumer of market data.
- Experience supporting both internal tooling and commercial data products.
