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October 12, 2026

Engineering Manager (IT Logistics)

Senior • On-site

Gdańsk, Pl-?, Poland

Quick Facts

  • Role: Engineering Manager (IT Logistics)

  • Focus: RMS system performance and critical batch data processing

  • Working model: Hybrid (3 days in Gdańsk; 2 days remote)

Description

Lead IT Logistics teams responsible for RMS performance and critical data-processing processes supporting daily LPP Group operations. Drive a long-term transformation roadmap for batch processing and ERP reporting in partnership with Staff Engineering and development teams, improving stability, reliability, and timeliness. Build team autonomy and increase practical usage of AI, agents, and automation in day-to-day delivery.

Responsibilities

  • Lead and develop teams (up to 10 people): set goals, provide regular feedback, run periodic reviews, support competency growth, participate in recruiting, and make personnel decisions

  • Build and execute the roadmap for transforming batch processing and ERP reporting based on business needs and engineering opportunities

  • Ensure predictable delivery by prioritizing work, planning resources, managing dependencies, removing blockers, and communicating progress and risks transparently

  • Strengthen team autonomy and continuity by defining clear goals, preparing tasks effectively, and setting boundaries of responsibility to reduce dependence on single experts

  • Measure and continuously improve efficiency using data and KPIs to identify bottlenecks, set improvement goals, and assess impact on productivity, quality, and process stability

  • Expand practical AI and automation usage: support AI tools and agents across analysis, development, testing, and maintenance; develop team competencies and evaluate real impact

  • Balance new initiatives with maintenance needs and technical debt reduction; ensure incident-related actions are delivered and collaborate with teams owning related systems/processes

Requirements

  • Experience with data-driven solutions and work on systems that heavily process data or use advanced analytics

  • Hands-on leadership experience proven through real responsibility and measurable outcomes

  • Ability to work with people: set clear expectations, provide constructive feedback, handle difficult conversations, and build collaboration and autonomy

  • Ability to translate complex problems into actionable plans; prioritize using business goals; identify dependencies and risks; drive work to completion

  • Analytical thinking: form hypotheses and verify (with data) that changes improve quality, performance, or working practices

  • Practical AI and automation: concrete examples from your own work and ability to identify opportunities for the team while maintaining quality of outcomes

Benefits

  • Private medical care on preferential terms (Lux Med or Enel Med)

  • Group insurance for you and your family on preferential terms

  • HeLPP wellbeing program (free, anonymous consulting: legal, psychological, financial)

  • Employee referral program

  • Development budget for individual competency growth

  • Integration budget for regular team meetups

  • Core working hours 9:00–15:00

  • Car and bike parking

  • 25% discount codes for LPP brand stores (Reserved, Mohito, Cropp, House, Sinsay)

  • Multisport benefits and access to a gym near the office

  • Work style based on trust, responsibility, and autonomy

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