140 English-speaking jobs in Podlaskie Voivodeship

Lead Data Scientist / ML Engineer will design, implement, and validate AI solutions, translate business problems into data science problems, and architect data pipelines.

Data Engineer to develop and maintain data processing platforms for automotive, aerospace, and telecommunications clients. Requires 3+ years of experience with Spark, Cloudera, Airflow, Python, and cloud environments.

Lead the development and implementation of scalable AI solutions, including machine learning, optimization, NLP, and computer vision.

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). Strong data modeling and communication 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 translating business problems into data science problems. Requires 5+ years of experience in designing and implementing scalable AI solutions, proficiency in Python and ML libraries, and experience deploying solutions in cloud environments.

Data Scientist / ML Engineer will design, implement, and validate Machine Learning solutions. Responsibilities include understanding client needs, translating business problems into data science problems, and developing scalable AI solution architectures. Requires 3+ years of experience in AI solutions, proficiency in Python and ML libraries, and experience deploying solutions in cloud environments (AWS or Azure).

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.

Lead the architecture design and implementation of complex enterprise solutions utilizing cloud computing, system integration, and software development expertise. Collaborate with teams to align technology strategy with business goals.

Provides consulting and training to clients on Microsoft Dynamics 365 Finance, analyzes and solves issues, and creates project documentation. Requires 5+ years of experience with Microsoft Dynamics 365 and older versions in finance, strong communication and analytical skills, and proficiency in MS Office and English.

Installation Technician will configure robotic systems, travel to client sites across Europe for installation, and troubleshoot electrical issues. Requires electronics background, fluency in English, and EU passport/driver's license.

Ruby on Rails Engineer to build and design secure, scalable microservices in a cloud SaaS environment. Experience with Ruby on Rails, cloud technologies, RESTful APIs, and Agile methodologies required.

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

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.

The PL/SQL Developer will implement and customize core insurance systems using PL/SQL. Responsibilities include creating, modifying, and optimizing procedures, functions, packages, and triggers in the Oracle database. Candidates must have at least two years of commercial experience with PL/SQL and one year of commercial experience with Java. Fluency in English is required.

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.

Develop and integrate Python-based backend components for AI-driven solutions, focusing on LLMs, agentic architectures, and data-centric engineering. Build and maintain RAG pipelines, vector databases, and retrieval logic. Collaborate with clients and developers on agile project teams.

Develop, maintain, and enhance Business Continuity and IT Service Continuity plans. Coordinate and execute continuity and disaster recovery tests. Identify operational and technology risks and propose mitigation strategies.

Experienced Delivery Manager / Service Owner needed to oversee the development, implementation, and ongoing operation of SIEM capabilities leveraging Google SecOps. Responsibilities include service architecture, process definition, deployment, continuous enhancement, and operational governance.

Provides advanced analytical expertise and guides the organization in applying modern eCommerce analytics practices. Drives the adoption of advanced web analytics and delivers data and analytics solutions. Collaborates with stakeholders to understand business needs, define analytical approaches, and oversee tracking and data solutions. Analyzes web, transactional, and customer data to identify trends, opportunities, and business insights.

Data Engineer to work on projects involving automotive data, a global aerospace data platform, and a centralized reporting platform for a US telecommunications company. Responsibilities include developing and maintaining data processing platforms, designing data pipelines, and optimizing data workflows. Requires 3+ years of experience implementing Big Data systems, strong Python skills, and experience with technologies like Spark, Cloudera, Airflow, NiFi, Docker, Kubernetes, Iceberg, Trino, or Hudi.