Overview
Founded in 1999 in Vienna, the Qualysoft Group is a manufacturer-independent IT consulting and services company, which successfully provides support for its international customers
Full job description
Founded in 1999 in Vienna, the Qualysoft Group is a manufacturer-independent IT consulting and services company, which successfully provides support for its international customers with the aim of boosting their competitiveness and economic efficiency through innovative IT solutions.
Its focus is on financial services providers, telecommunications companies, the automotive industry and energy service providers. Over 400 employees in 6 subsidiaries work together to ensure state of the art solutions for our clients.
We are looking for new colleagues in Qualysoft teams for diverse projects providing continuous learning opportunities. Our common goal is to provide honesty, development and a stable background while getting to know the latest technologies. We are waiting for your application for the position below!
Our clients institutional financial technology division plays a key role in driving data and platform strategy across their organization. The team is responsible for building and maintaining a data platform that manages, processes, and distributes trading, revenue, risk, and reference data, including client, product, and pricing information for our clients. As a central source of critical datasets, the platform is heavily involved in data engineering, modeling, processing, visualization, and analytics. The role involves developing user-facing, high-performance applications that operate on large-scale, real-time data systems using technologies such as Java, Angular, and Python. The platform leverages multiple data stores and processing frameworks, including both relational and NoSQL databases, as well as distributed data processing solutions. They operate in a global, agile, and collaborative environment, working closely with stakeholders and their clients to set priorities and deliver scalable solutions. Responsibilities include implementing efficient caching and messaging strategies, as well as designing intuitive, enterprise-level data models by understanding the full lifecycle of financial products and end-to-end processing flows.
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