351 English-speaking jobs in Podlaskie Voivodeship

Middle/Senior Backend Engineer to architect and scale a modern Ads platform. Design high-performance backend systems and APIs for campaign management, targeting, delivery, and reporting. Collaborate with product, data, and partner teams to translate business requirements into technical solutions.

Senior Business Analyst to develop and maintain solutions within the Atlassian Jira environment. Responsibilities include analyzing processes, designing configurations, supporting PMO, and creating reports. Requires 3+ years of experience as a business or system analyst and 2+ years with Atlassian tools (Jira, Confluence, BigPicture).

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.

Lead the design, implementation, and validation of Machine Learning solutions. Research, test, and select AI solutions to meet business requirements. Understand client needs and translate business problems into data science problems. Architect and oversee the implementation of data pipelines and workflows. Present findings and recommendations to stakeholders.

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.

Lead the design and implementation of Machine Learning solutions, ensuring alignment with project objectives. Research, test, and select tools and technologies to meet business requirements. Understand client needs and translate business problems into data science problems. Architect and oversee the implementation of data pipelines and workflows. Present findings and recommendations to stakeholders.

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 DevOps CI/CD Pipeline Engineer to design, implement, and optimize GitLab Ultimate-based CI/CD environments. Responsibilities include defining DevOps workflows, enhancing IT security, and collaborating with development teams. Requires 5+ years of relevant experience, 2+ years with GitLab Ultimate, and expertise in Terraform, Ansible, Kubernetes, and cloud platforms.

Lead Python Engineer to design, develop, and maintain scalable finance-focused backend solutions using Python. Integrate external systems and APIs, work with Product Managers and Tech Leads to solve customer problems, and lead and mentor the engineering team.

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 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.

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).

Manages and coordinates internal and external resources for IT projects. Develops and implements project management plans and supervises project requirements. Provides project escalation management and supports customer Product Owner. Requires 5+ years of experience in a similar managerial role within IT and a valid certification (PRINCE2 Practitioner, PMP, or AgilePM Practitioner).

Manager: Data Analytics (L3) for a Global Fintech Group. 5+ years in Data Analytics, BI, or related field. Sector expertise in FinTech, Banking, or Financial Services required.

Manager Data Analytics (L3) for a leading Global Fintech Group. 5+ years experience in Data Analytics, BI, or related field. Sector expertise in FinTech, Banking, or Financial Services required.

Manager Data Analytics (Level L3) for a leading Global Fintech Group. 5+ years experience in Data Analytics, BI, or related field with 3+ years in FinTech, Banking, or Financial Services. Expert in data mining, statistical modeling, and quantitative analytics. Designs dashboards, identifies growth opportunities, and leads data interpretation for Fintech verticals and regional operations.

Manages the full lifecycle of data science projects, designing and deploying ML models for a global fintech platform. Requires 5+ years of experience as a Data Scientist or Data Engineer, with 4-6+ years of applied data science and 3+ years in FinTech.

Data Manager (L3) for a leading Global Fintech Group. 5+ years in Data Analytics, BI, or related field with 3+ years in FinTech, Banking, or Financial Services. Expert in data mining, statistical modeling, and quantitative analytics. Designs dashboards, identifies growth opportunities, and leads data interpretation for Fintech verticals.

Data Manager (L3) for a leading Global Fintech Group. 5+ years in Data Analytics, BI, or related field with 3+ years in FinTech, Banking, or Financial Services. Expert in data mining, statistical modeling, and quantitative analytics. Designs dashboards, identifies growth opportunities, and leads data interpretation for Fintech verticals and regional operations.