191 English-speaking jobs in Białystok

Software Architect needed for design and development of scalable, high-performance software architecture for data integration, synchronization, and processing from multiple sensors. Experience in real-time data processing systems or embedded/IoT systems required. Fluency in English and at least one programming language used in high-performance systems is essential.

Software Architect needed for design and development of scalable, high-performance software architecture for data integration, synchronization, and processing from sensors. Experience in real-time data processing systems, embedded/IoT systems, and large data handling is required.

Building Systems Engineer needed for EMEA Operations team. Responsibilities include delivering tasks, investigating electrical documentation, and providing technical support. Requires strong understanding of control systems, energy management, and building services engineering. Must have 3+ years experience, excellent communication skills (English C1), and a driving license.

Full-time on-site role in Białystok for an engineer focused on delivering technical expertise within projects. Responsibilities include problem-solving, solution implementation, and adherence to project timelines and standards.

Senior Data Engineer to implement scalable data architectures and pipelines on Databricks. Requires 5+ years of experience in data engineering, strong Python and SQL skills, and expertise in Apache Spark and Airflow. Experience with automotive or IoT data is a plus.

Partner with Data Science teams to deploy production-ready machine learning models. Design, implement, and maintain scalable ML infrastructure and CI/CD pipelines. Establish and implement MLOps best practices.

Senior Software Engineer will design, write, test, deploy, and support Relativity software products. Focus on Import/Export services, building and scaling infrastructure for secure data movement. Requires advanced React with TypeScript, 5+ years with C#/.NET, and experience designing and operating distributed SaaS systems.

Data Scientist to work on e-commerce projects involving machine learning and large-scale data processing. Requires Python, Scala, SQL, GCP, Vertex AI, BigQuery, Apache Spark, Airflow, and Looker Studio. Minimum 3-5 years of experience in data science with proven production ML model deployment experience.

Senior Data Scientist / ML Engineer Miejsce pracy: Białystok Technologies we use Expected Python Docker Machine Learning LLMs GenAI Data Science AWS AI Agents Optional Kubernetes CI/CD RAG Operating system Windows macOS About the project As a Senior Data Scientist / ML Engineer, you will have the exciting opportunity to work with a team of technology experts on challenging projects across various

js JavaScript TypeScript Fullstack Operating system Windows macOS About the project As a Data Scientist / ML Engineer, you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies.

Lead Data Engineer (Spark) Miejsce pracy: Białystok Technologies we use Expected Python SQL Spark Airflow Docker Kafka Cloudera Iceberg AWS Optional Kubernetes Hadoop Iceberg NiFi Java Scala Trino Hudi Operating system Windows macOS About the project As a Lead Data Engineer, you will have the exciting opportunity to work with a team of technology experts on challenging projects across various ind

Python PySpark Engineer needed for data migration project in Palantir Foundry. Requires strong ETL/ELT knowledge, experience with data lakes, and proficiency in Python and PySpark.

Data Engineer to migrate and build ETL/ELT processes in Snowflake infrastructure. Experience with dbt Cloud, Snowflake, Confluence, Jira, and Azure DevOps required.

We are seeking a Mid Frontend Developer with 3+ years of experience building user-oriented web applications. You should have an understanding of Vue, Bootstrap or a similar CSS framework, and be familiar with testing practices. Strong communication skills and a good command of English are 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.

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.

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 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 AI Engineer will develop scalable AI systems, including LLMs and GenAI, transforming Data Science prototypes into production solutions. Responsibilities include building and enhancing backend components using Python and frameworks like FastAPI, ensuring code quality, and participating in deployment and maintenance in a cloud environment.