27 English-speaking jobs in Łomża
Data Architect with German
- Link Group
- Łomża
- November 1
We are seeking an experienced Data Architect with fluent German to design, modernize, and scale enterprise data platforms in the cloud. In this role, you will lead the architecture of AWS-based data lakes, streaming solutions, and data pipelines for major clients in the DACH region.
Junior Python Developer
- Link Group
- Łomża
- November 1
Join our Agile team developing a web portal for financial account management and investments. Responsibilities include designing technical solutions, maintaining code, and investigating production incidents. Requires 1+ year of professional experience with Python, bash, Jenkins, and Linux.
Enterprise Data & AI Platform Architect (f/m/x)
- Sii
- Łomża
- November 1
Enterprise Data & AI Platform Architect to define and evolve the technology foundation for data, analytics, and AI in healthcare. Requires 10+ years in data platforms, 5+ in Architect roles, and expertise in Databricks, Azure, and AI/MLOps.
Senior Validation Specialist
- Transition Technologies MS
- Łomża
- November 1
Senior Software Engineer Fraud
- Affirm
- Łomża
- October 29
- remote work
Senior Software Engineer Fraud to design and implement real-time fraud decisioning services in Python or Kotlin. This role extends the Fraud Decisioning System to new markets and integrates risk vendors. Requires 5+ years building backend systems at scale.
Senior Fullstack Mobile Engineer KMP Java
- Integral Solutions
- Łomża
- October 29
Senior Fullstack Mobile Engineer KMP role building digital financial products. Develop shared logic via KMP, design backend services with Java/Spring Boot, and enhance customer-facing mobile features. Requires strong Kotlin/KMP and mobile architecture skills.
Senior Data Engineer Azure Databricks
- C&F
- Łomża
- October 29
Senior Data Engineer needed to build big data products using Azure Databricks for global clients. Responsibilities include designing scalable data solutions, managing the data lifecycle, and developing data pipelines. Requires 4+ years in Azure and 6+ years in large-scale data management.











































































