Top Tech Jobs & Startups Jobs

Join a global B2B company as a Marketing Insights Analyst to turn data into actionable insights and drive strategic approaches to marketing data. Responsible for managing marketing analytics projects, analyzing data to improve customer journey, and communicating insights effectively to stakeholders. Collaborate with marketing and sales teams to align efforts and improve lead generation and conversion rates. Proficiency in Snowflake, Power BI, Looker Studio, and Excel is required.

Join ROCKWOOL as an IT Programmer to work on international projects and contribute to the development, maintenance, and support of Manufacturing Execution Systems (MES) in the ROCKWOOL Group. Travel up to 60 days per year to projects in production sites worldwide.

Seeking an IT Network Consultant to join our team to ensure smooth operation of network systems, troubleshoot network issues, implement upgrades, maintain network documentation, and collaborate with cross-functional teams. Bachelor's degree in Computer Science or related field, CCNP or CCNA certificate, and experience with Cisco network products required.

Seeking a Microsoft Dynamics Developer to support the implementation of Configure Price and Quote solution, assist in new market roll outs, and contribute to maximizing business benefits on a global level. Responsibilities include supporting team in Roll Out Project, performing 2nd level support, attending project-related agile Scrum meetings, maintaining documentation, analyzing CPQ Business requirements, providing suggestions for process improvement, and proposing alternative solutions.

Seeking an experienced HR Administration Specialist to handle employee queries, administer company benefits, manage HR documents, and drive process improvement initiatives. Must have a university degree in HR or related field, 2+ years of experience, knowledge of labor law, and fluency in English (minimum C1 level).

Seeking a Data Scientist to join the R&D team in Poznań, focusing on analyzing industrial data, designing machine learning models, and collaborating with cross-functional teams for process optimization.

Automate data flow for analysis of industrial processes, design systems to store and access industrial data efficiently, ensure data quality for ML models in industrial automation, create real-time data visualizations for industrial operations, engineer data infrastructure for deployment of machine learning, support Data Science Team in creating robust and innovative AI solutions.