HR Generalist

Handling all administrative aspects along the entire employee life-cycle, like employee’s documentation (payroll related documents, contracts, work permissions, expense reports, sick leaves, etc.). Managing employee’s social insurance through the CROSO system and updating employee data into relevant databases. Providing full cycle support to line managers for disciplinary actions, performance improvement initiatives, and dismissal procedures in alignment with labor law regulations. Closely collaborating with the line leaders to ensure the relevant policies and procedures fit the needs and growth potential of the organization. Continuously improving the employee experience by contributing to team projects. Analyzing relevant HR data and preparing relevant reports in line with the short- and long-term business needs.

Cooperative, innovative, piratesque, responsible, ambitious – these five values are what we practice and preach. We encourage everyone to think on their feet, and love it when they come up with bold or edgy ideas. Simplicity is at our core. We avoid the unnecessary and focus on what really matters – from overcoming challenges to celebrating our shared successes. With us, growth is a continuous journey. We also support you with EDU Points for your professional development, so there’s no risk of you getting stuck in a rut.

• Minimum 3 years in Human Resources

• No qualifications/further training required

• English (Fluent)

• German (Advantageous)

• Excellent knowledge and understanding of Serbian labor law, as well as HR procedures and policies

• Ability to build genuine and fruitful relationships with stakeholders, preferably in an international environment, and effectively advise line managers on pertinent topics

• Problem-solving and decision-making skills in challenging situations

• Ability to challenge "how things have always been done" and propose more efficient, automated, and/or effective solutions

• Demonstrate courage to take calculated risks and act on convictions under uncertainty