Data Engineer

Job Summary

We are looking for a new Data Engineer employee to be based in Tczew, Poland.

Primary Objective: Support business decision-making through advanced analytics, Big Data technologies, and predictive modeling while ensuring the reliability, availability, and continuous operation of business applications.

What a typical day looks like

• Participate in the implementation and enhancement of business applications and system functionalities.
• Develop and apply statistical, predictive, and machine learning models to support real-time business decision-making.
• Perform data analysis using advanced analytical methods and tools to address business challenges and opportunities.
• Collect, integrate, and transform structured and unstructured data from multiple sources using Big Data technologies.
• Design and implement data-driven solutions to identify patterns, optimize processes, and improve business performance.
• Promote data analytics best practices and support the development of analytical capabilities across the organization.
• Perform day-to-day administration, maintenance, and support of business applications.
• Collaborate with external vendors, internal consultants, Key Users, and Help Desk teams to ensure seamless system operations.
• Develop innovative business solutions that improve productivity and user experience.
• Define and implement procedures and technical solutions to enhance system performance, stability, standardization, and security.
• Create, analyze, and maintain reports, dashboards, and data visualizations for internal and external stakeholders.
• Prepare and maintain technical, functional, and process documentation for implemented solutions and analytics initiatives.

Required Qualifications

• Bachelor’s degree in Information Technology, Computer Science, or a related technical field
• 2-3 years of experience in IT business analyst function and database administration responsibilities
• Good Polish & English language skills
• Eligibility to work in Poland

Preferred Qualifications

• Degree in Data Science, Computer Science, Information Technology, Mathematics, Statistics, or a related field.
• Experience with business applications (ERP, MES, HR, Financial Systems).
• Knowledge of SQL, Python, R, or other data analytics tools.
• Experience with Big Data platforms and data visualization tools (e.g., Power BI, Tableau).
• Knowledge of machine learning, predictive analytics, and statistical modeling techniques.
• Experience with cloud-based data and analytics platforms (Azure, AWS).
• Microsoft Data & AI, Azure Data Engineer, Power BI, or similar analytics certifications are an advantage.