Data Engineer TypeScript, Node.js & SQL - 20735

About this job

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry. Job Overview Role Summary Our client is seeking an experienced Data Engineer for a consulting assignment in central Stockholm. The role is suited to a professional with a strong technical background in data integrations, API development, and data-driven solutions who is comfortable collaborating closely with business stakeholders. You will play a central role in maintaining and advancing the client’s existing technical solutions. The assignment focuses on building stable integrations, creating efficient data flows, improving data quality, and enabling more flexible and scalable connectivity between systems and platforms. Key Responsibilities Maintain, develop, and improve existing system integrations and data flows. Develop and support API integrations with external systems and platforms. Enhance event-driven data flows and ensure reliable data processing. Perform data modeling and develop SQL-based data solutions. Process and manage large volumes of data. Contribute to improved scalability, flexibility, and efficiency across the integration landscape. Collaborate closely with business stakeholders to align technical solutions with operational needs. Technical Stack & Requirements TypeScript and Node.js: Used for engineering and maintaining data-driven services and integrations. SQL: Required for querying, transforming, and managing data. API Development: Experience developing and maintaining integrations with external systems and platforms. Event-Driven Architecture: Experience developing reliable event-driven data flows. Data Modeling: Ability to structure data effectively and support scalable data solutions. Data Integration: Strong background in creating stable and efficient data exchanges across heterogeneous systems. Qualifications & Experience The assignment requires an experienced Data Engineer with a strong technical background in data integration, API development, data modeling, SQL, and data-driven solutions. The successful consultant should be comfortable working within an established technical environment, maintaining production solutions, handling large datasets, and incrementally improving scalability, reliability, and data quality.

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