Engineering Manager (IT Logistics)

Silky Coders develops IT, e-commerce, and data science solutions for the LPP Group, supporting brands such as Reserved, Mohito, Cropp, House, and Sinsay. The IT Logistics team focuses on system RMS performance and critical data processing supporting LPP's business operations. The role involves working with large volumes of operational data and improving system stability and efficiency.

• Experience working with data-driven solutions involving large volumes of operational data or advanced analytics.
• Leadership experience demonstrated through initiative management, team organization, or responsibility for shared goals.
• Ability to work with people by setting clear expectations, giving constructive feedback, handling difficult conversations, and fostering collaboration and autonomy.
• Skill in translating complex problems into actionable plans, prioritizing based on business objectives, identifying dependencies and risks.
• Analytical thinking with capability to formulate hypotheses, select metrics, and evaluate the impact of changes on quality and productivity.
• Practical experience using AI and automation responsibly to improve team efficiency.

Nice to have:

• Experience managing development teams including employee growth, recruitment, performance evaluations, goal setting, and competency planning aligned with business and strategic needs.
• Practical experience in technical improvements, automation, optimization, or system modernization.
• Experience working with business-critical systems, especially in logistics or retail sectors.

• Lead and develop teams of up to 10 people through goal setting, feedback, performance reviews, and competence planning, including recruitment and personnel decisions.
• Build and execute a roadmap for batch processing and ERP reporting transformation by collaborating with Staff Engineer, development teams, and business partners.
• Ensure predictable delivery by prioritizing, resource planning, managing dependencies, and removing obstacles.
• Develop team autonomy and work continuity by defining clear goals, preparing tasks, and clarifying responsibilities while encouraging knowledge sharing.
• Measure and systematically increase efficiency using data and metrics to identify constraints and assess improvement impacts.
• Promote practical use of AI and automation tools in analysis, development, testing, and maintenance, including building team competencies.
• Balance development and operational responsibilities, including reducing technical debt and coordinating incident-related actions with related teams.

By applying, candidates consent to the processing of their personal data by Silky Coders Sp. z o.o. for recruitment purposes, with data processed under legal bases including employment law and legitimate interest. Data will be stored for up to 1 year post-publication and not transferred outside the EEA. Candidates have rights to access, correction, deletion, restriction, objection, and data portability. Complaints can be filed with the Data Protection Authority. Consent withdrawal does not affect prior lawful processing.