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Support group-wide HR data consistency and system migrations by aligning data types and validations, querying and analysing large datasets, designing data processes and governance, documenting mappings and playbooks, and communicating findings to technical and non-technical stakeholders while ensuring GDPR compliance and safeguarding HR personal data.

Lead design and implementation of scalable microservices for an e-commerce platform, provide technical leadership across domains, mentor teams, participate in architecture and code reviews, and collaborate with stakeholders to align technical solutions with business needs.

Lead and deliver cross-team, end-to-end technology programs: create program plans, manage dependencies/risks, define KPIs, run readiness/rollout reviews, coordinate non-functional requirements, apply AI for program execution, drive governance, and mentor Associate TPMs.

Lead and mentor an engineering team, manage projects, drive initiatives, ensure quality delivery, and partner with stakeholders for alignment.

As an AI Product Manager, you will identify AI-driven solutions, manage product roadmaps, develop Go-To-Market strategies, and drive adoption of AI products across InPost Group.

The Associate Platform Engineer will enhance the Internal Developer Platform, handle cloud infrastructure, automate processes, and ensure security and reliability while collaborating with software engineers.

The Billing System Engineer will develop and maintain the billing platform, ensure system stability, monitor data flows, and support billing processes across European markets.

The role involves designing, implementing, and testing high-performance microservices in Java. You'll advocate for quality engineering practices and collaborate with peers while mentoring team members.

The Cloud Network Engineer will design and maintain cloud network architectures, automate provisioning, implement security policies, and optimize performance in GCP environments.

The Data Scientist will partner with business teams to develop machine learning models and analytics solutions, enhancing product strategies and user experience. Responsibilities include translating business needs, implementing data solutions, and communicating insights effectively.