Senior Data Engineer – Integrations, Data Platform

🕒 April 25

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Logo of Sigma Software Group

Sigma Software Group

1001 - 5000 employees

Founded 2002

🎮 Gaming

📡 Telecommunications

Software Development • Gaming • Telecommunications

Sigma Software Group is a multinational company, established in 2002, that specializes in providing high-quality software development, graphic design, testing, and support services. The company focuses on delivering solutions across various industries such as automotive, telecommunications, aviation, advertising, gaming, banking, real estate, and healthcare. Sigma Software values professional growth, offers remote work opportunities worldwide, and caters to world-renowned clients like AstraZeneca, Scania, and SAS. The company emphasizes a culture of continuous education, mentorship, and flexible work environments, making it a preferred workplace for IT specialists aiming to work on complex solutions utilizing cutting-edge technologies. Sigma Software is committed to innovative solutions and engineering the future while also contributing to social causes such as charitable work in Ukraine.

📋 Description

• Design, build, and maintain reliable data pipelines to ingest and process data from external systems • Implement integrations using Java or Scala, ensuring scalability and resilience • Handle both full data loads and incremental updates efficiently • Collaborate with engineering and product teams to align on integration and data needs • Develop and maintain a unified internal data model • Ensure data quality, detect and resolve incorrect or incomplete data • Utilize AI-assisted tools to improve data quality and operational efficiency • Monitor and optimize data pipelines for production readiness

🎯 Requirements

• At least 5 years of experience as a Data Engineer or Backend/Data Engineer • Strong production experience with Java or Scala • Proven experience integrating external systems via REST APIs (pagination, rate limiting, token-based authentication) • Strong data modelling skills with structured, relational data • Solid SQL knowledge • Experience with GCP Dataflow • Experience operating data pipelines in production environments • Strong communication skills and ability to collaborate across teams • At least an Upper Intermediate level of English • WILL BE A PLUS: Experience with event-driven architectures or messaging systems, Designing canonical schemas across multiple data sources, Experience with LLM (Large Language Models)

🏖️ Benefits

• employees can work remotely

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