149 English-speaking jobs in Białystok

Senior Data Engineer to design and develop data processing platforms for automotive and aerospace clients. Requires 5+ years of experience with Big Data technologies (Spark, Cloudera, Airflow, Kafka), cloud environments (AWS), and programming languages (Python, Java/Scala). Excellent communication and client management skills are essential.

Data Engineer to develop and maintain data processing platforms for automotive, aerospace, and telecommunications clients. Projects involve Spark, Cloudera, Airflow, Iceberg, Python, AWS, Azure, and Databricks. Requires 3+ years of experience with Big Data systems, data governance, and cloud environments.

Lead the development, implementation, and validation of Machine Learning solutions. Design AI solution architectures, research and select tools and technologies, and translate business problems into data science problems. Architect and oversee data pipelines and workflows, coordinate with Data Engineering and Software Engineering teams, and present findings to stakeholders.

Senior Software Engineer / Architect will design software architecture, lead software work packages, and develop software solutions. Requires 5+ years of experience with Java, Spring Boot, C++, Python, HTML, CSS, Angular, and DevOps practices. Fluency in English is required. Experience with Selenium, cloud backends, UX design, and secure software design is a plus.

Develop and integrate Python-based AI solutions for international clients, focusing on LLMs, agentic architectures, and data-centric engineering.

Data Engineer will build and optimize data pipelines and flows for clients. Responsibilities include identifying improvements for data processing solutions, advising on tool utilization, and collaborating with teams to ensure business requirements are met.

Senior Consultant for IT projects in financial institutions, particularly insurance companies. Leads complex business analysis, functional design, and implementation projects. Requires 5+ years experience in the financial sector and strong team management skills.

Business Analyst will join consulting or implementation teams for IT projects within financial institutions, primarily insurance companies. Responsibilities include conducting business analysis, defining functional requirements, testing solutions, and supporting UATs. Must have a bachelor's degree, strong English skills (C1 level), and understanding of agile methodologies.

Data Engineer to work on projects involving automotive data, aerospace data, and telecommunications data. Responsibilities include developing and maintaining data processing platforms, designing data pipelines, and optimizing data workflows. Requires 3+ years of experience with Big Data systems, Spark, Cloudera, Kafka, Airflow, NiFi, Docker, and Iceberg. Strong Python (or Java/Scala) programming skills and experience with cloud environments are also required.

Senior Data Engineer to work on automotive, aerospace, and telecommunications projects. Responsibilities include developing and maintaining data processing platforms, designing data pipelines, and optimizing data workflows using technologies such as Spark, Cloudera, Airflow, Iceberg, and AWS. Requires 5+ years of experience implementing Big Data systems, strong Python (or Java/Scala) skills, and experience with cloud environments.

Senior .NET Developer / Team Leader needed for a global IT consulting company. Develop and enhance applications using .NET / .NET Core (C#), design REST APIs, and work with databases (SQL, EF Core). Must have 7+ years of experience in .NET / .NET Core, excellent C# knowledge, and experience as a leader or tech lead.

This posting is part of a Talent Pool for Go Developer roles. Applications will be used to quickly respond to future business needs. We will contact selected candidates only when a relevant recruitment process is initiated. Master’s degree in Computer Science or Electrical Engineering is required. 7+ years of professional software development experience is required. Expert-level programming skills in Golang (3+ years of daily coding experience) are required. Extensive knowledge of Linux and container solutions is required. Excellent understanding of cloud orchestration systems and solutions is required. Strong team skills are required. Comfortable working in a fast-paced environment is required.

Senior AI Engineer needed to design, implement, and optimize AI/ML solutions. Experience with large language models (GPT-4, LLaMA, Copilot, GROK), Python, Azure cloud services, and MLOps practices required.

Experienced Guidewire Developer to lead technical aspects of international insurance projects. Responsibilities include implementing Guidewire modules, code review, integration with external systems, and mentoring junior developers.

Experienced Guidewire Business Analyst needed for long-term project with international insurance client. Must have hands-on experience with ClaimCenter and BillingCenter, strong understanding of insurance processes, and experience with Agile methodologies.

Experienced Guidewire Developer to join a dynamic international team. Implement and configure Guidewire modules, review and write code, integrate with external systems, and lead DevOps processes.

Data Engineer to design and develop data platforms using Databricks, Spark, and other Big Data technologies. Projects include data platform development for aerospace companies, data platform transformation for an energy management association, and data transformation pipelines for a global car manufacturer. Requires 3+ years of experience implementing Big Data systems, strong Python and SQL skills, and expertise in cloud environments (Azure preferred).

Senior Data Engineer to design and develop data platforms, pipelines, and applications using Databricks, Airflow, Spark, and other Big Data technologies. Experience with cloud environments (Azure preferred), data modeling, and SQL is required.

Junior Data Engineer will design and develop data processing pipelines for streaming and batch data using technologies like Databricks, Airflow, and Dagster. Responsibilities include collaborating with the Data Science team on Machine Learning projects, developing data transformations, and translating business requirements into technical solutions.

Design and implement robust, scalable, and secure software solutions. Bridge the gap between business requirements and technical execution. Evaluate and recommend technologies, tools, and platforms. Integrate diverse systems, including legacy platforms and cloud services. Champion Domain-Driven Design principles. Drive the adoption of Microsoft Azure services. Design and implement event streaming solutions using Kafka. Leverage Kubernetes for container orchestration. Define performance and scalability requirements. Mentor and guide junior architects and developers.