80 English-speaking jobs in Białystok

Site Superintendent responsible for operational execution of projects. Reports to project manager, plans and optimizes works, manages QHSE, time, and budget compliance. Requires a master's degree in (civil) engineering and 3+ years of experience with complex projects.

DEME seeks a Surveyor to join its global survey department. Responsibilities include installing and calibrating measurement devices, processing results, mapping data, and reporting to project management. The ideal candidate holds a degree in Engineering, Geography, Topography, or Construction with a topography specialization and practical knowledge of modern measurement techniques and AutoCAD. Extensive travel is required.

DEME seeks a Hydrographic Surveyor to join a global team. Responsibilities include installing and calibrating measurement devices, processing results, mapping data, and reporting to project management. Requires a degree in Engineering, Geography, Topography, or Construction with a topography specialization. Must be proficient in AutoCAD and comfortable with extensive international travel.

Site Superintendent responsible for operational execution of projects. Reports to Project Manager, plans and optimizes works, manages client communication, QHSE, time and budget compliance. Requires a master's degree in (civil) engineering or equivalent experience and 3+ years in complex engineering projects.

DEME seeks a Surveyor to join its global survey department. Responsibilities include installing and calibrating measurement devices, processing results, mapping data, and reporting to project management. The ideal candidate holds a degree in Engineering, Geography, Topography, or Construction with a specialization in topography and practical knowledge of modern measurement techniques.

Lead the technical design and architecture of distributed microservices using Python and AWS. Mentor an R&D team, drive architectural decisions, and contribute to backend development.

Analyze, troubleshoot, and implement technical solutions for Atlassian systems and plugins. Collaborate with users on process automation, reports, workflows, and dashboards.

Security Specialist to build secure architecture, code, and infrastructure for a leading German health-tech platform. Experience with Node.js/TypeScript, API security, Kubernetes, and GCP required.

Develop and maintain a high-performance data processing platform for automotive data. Design and implement data pipelines that process large volumes of data in both streaming and batch modes. Optimize data workflows using Spark, Cloudera, and Airflow. Collaborate with cross-functional teams to understand data requirements.

Lead the development and implementation of scalable AI solutions, including Machine Learning, Predictive Modeling, Optimization, LLMs, NLP, Computer Vision, and GenAI. Translate business problems into data science problems and architect data pipelines. Coordinate with Data Engineering and Software Engineering teams to build AI applications.

Senior Data Engineer to develop and maintain a high-performance data processing platform for automotive data. Responsibilities include designing and implementing data pipelines, optimizing data workflows, and collaborating with cross-functional teams. Requires 5+ years of experience with Big Data technologies (Spark, Cloudera, Kafka, Airflow, NiFi, Docker, Iceberg), strong Python (or Java/Scala) skills, and experience in cloud environments.

Experienced Guidewire Developer to join a dynamic international team. Lead software development processes, mentor developers, and implement/configure Guidewire modules.

Business Analyst to join consulting or implementation teams for IT projects in the financial sector, primarily insurance companies. Responsibilities include business analysis, defining functional requirements, testing solutions, and collaborating with developers and architects.

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.

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 Data Engineer to design and develop scalable data management architectures and platform solutions using technologies like Spark, Hadoop, and AWS. Responsibilities include designing data governance processes, developing CI/CD and MLOps processes, and collaborating with the Data Science team. Requires 7+ years of experience in implementing Big Data systems, strong Python or Java/Scala skills, and a Master's or Ph.D. in a related field.

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.

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 engineering teams, and present findings to stakeholders.

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.

Senior Data Scientist / ML Engineer will design, implement, and validate Machine Learning models to support business objectives. Responsibilities include researching, testing, and selecting AI solutions, understanding client needs, and architecting data pipelines. Requires 5+ years of experience in AI, proficiency in Python and ML libraries, and knowledge of cloud environments (AWS or Azure).